537 jobs found

Job Description Job Description We are looking for a Lead Information Security Architect who will be responsible for developing and maintaining a comprehensive information security architecture program and representing information security requirements for all technology solutions and business processes covering multiple technical disciplines, such as systems & networking infrastructure, DevOps, security, business applications, cloud security, and data architecture. The role oversees cybersecurity for our company's digital products, including software, firmware or products that contain code. This includes implementing a product security program designed to address cybersecurity across all stages of the product life cycle. This role identifies and oversees the mitigation of technical and operational threats; analyzes the security, supportability, and feasibility of new technology; and ensures conformance with regulatory guidelines and industry best practices. This position requires an extremely high level of analytical problem-solving skills to diagnose and resolve complex technical issues in addition to superlative process management and communication skills. Note: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. To be Successful in this Role Develop an architectural vision to support the continued growth of the product suite Working knowledge of Data Security Best Practices: At Rest, In Flight, In Use Experience with privacy-enhancing technologies and encryption techniques. Working knowledge of cloud security architecture strategies, frameworks, and reference models Proven ability to develop effective partnerships with senior management and peer organizations. Must be able to explain technical concepts and problems to nontechnical senior executives Ability to build Risk Models and analyze security weaknesses in complex technology deployments. Provide security expertise and direction on projects related to cloud architecture and design, implementation, maintenance, governance, and risk management Work with governance teams to establish automated processes and best practices for AWS, Azure IAM policies, roles, identity federation, etc. Conduct automated (preferred) or manual security validation of cloud templates and/or cloud infrastructure Collaborate with business units and corporate partners to ensure they build solutions consistent with the organization's policies, programs, architectural recommendations, and information security standards Develop, establish, enforce, and sustain the Information Security Architecture, including standards and guidelines for infrastructure solutions and technologies, integration methodologies and practices, development processes, hardware platforms, and enterprise data design. Partner with stakeholders in building and implementing a robust, scalable, and agile information security architecture Partner with stakeholders in assessing the IT application & infrastructure portfolios today and design and execute the future state strategy to meet business objectives going forward. Make recommendations on the strategic use of technology for leveraging business results and work with stakeholders to incorporate these recommendations into appropriate roadmaps and life cycle plans. Anticipate and ensure alignment with long-term business requirements, ensuring identified change is reflected in the appropriate roadmaps, providing thought leadership both internally and externally Minimize the number of architectural components and total cost of ownership while maintaining maximum of functional flexibility, reliability, and security. Must be able to balance the role of strategist with urgency while simultaneously managing and delivering results in a growing and fast-paced environment. Must demonstrate the ability to manage via influence and have the credibility and interpersonal skills to become respected as a thought leader. Must be capable of articulating pragmatic, sensible, and simple solutions while executing across multiple business and technical perspectives. Act as a role model for service mentality, building long-term relationships with key internal customers and stakeholders, while remaining receptive to the customer's needs Facilitate and steward the documenting of the architecture design and analysis work, including the capture and mapping of the relationships between architecture components. You Will Have 8+ years' experience dedicated to information security architecture required with expert knowledge in building defense in-depth reference architecture Required industry security certification (e.g., CISSP, CISM, CISA, CCSP, etc.) Familiarity with information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure, and operations. Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT and predictive analytics. Hands-on experience with Cloud Technologies AWS, Azure & GCP Good understanding of security management solutions, including IDS, IPS, SIEM, Vulnerability Scanning, Denial of Service, and Continued Compliance Experience with attacks and mitigation methods, with experience working in two or more of the following: Network protocols and secure network design; Operating system internals and hardening (e.g. Windows, Linux, OS X, Android); Web application and browser security; Security assessments and penetration testing; Authentication and access control; Applied cryptography and security protocols; Security monitoring and intrusion detection, Incident response and forensics; Development of security tools, automation or frameworks Experience in managing and contributing to incident response Extensive experience in developing strategic information security plans, including the development of baseline security standards, information system hardening guides, and information security requirements documentation. Excellent analytical skills, organizational, time management, and problem-solving skills are essential.is work, including the capture and mapping of the relationships between architecture components.

Job Description Job Description Job Title: Cloud Security Architect Location: Princeton, NJ(Hybrid) Type: Contract Responsibilities: Lead architecture and implementation of Palo Alto Strata Cloud Manager (SCM) Design secure cloud network architectures across AWS/Azure/GCP Define standards, best practices, and security frameworks for cloud security Oversee integration of Palo Alto services into enterprise cloud environments Provide technical leadership and guidance to engineering teams Collaborate with stakeholders to align security architecture with business goals Requirements: Strong experience with Palo Alto Networks (SCM implementation required) Proven experience in cloud security architecture (AWS/Azure/GCP) Deep understanding of network security, firewalls, and cloud integrations Experience leading design and architecture decisions Excellent stakeholder communication and leadership skills On-site work commitment System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Times Square - onsite 4x/week Salary- $120-150,000 + bonus One of our clients is needing a Network Architect to join their team. You'll focus on deploying IPv6, enhancing security, delivering training on best practices, and providing architectural guidance to enrich both the networks and their teams. Key Responsibilities: Network Auditing and Planning Assess customer networks to identify opportunities, such as IPv4 addresses they could monetize. Develop and execute plans for IPv4 renumbering and IPv6 deployment. Recommend security enhancements and industry best practices. Training and Education Train non-technical and technical audiences on IPv4, IPv6, DNS, BGP, RPKI, RBLs, geolocation, and related topics. Effectively communicate complex technical concepts in a clear and engaging way. Architectural Guidance Provide technical advice on network architecture, including BGP, RPKI, and other concerns related to IPv4 transactions. Review and validate the technical accuracy of marketing and educational content. Demonstrate tools, such as ReView, to potential clients and partners. Qualifications: Network Expertise: In-depth understanding of IPv4 and IPv6, including addressing, security challenges, and deployment strategies. Hands-on experience with routing protocols (BGP, OSPF), routing policy (IRRs), and routing security (RPKI). Diverse Network Experience: Familiarity with ISP, enterprise IT, data center, and cloud environments, and an understanding of their unique challenges and priorities. Technical Communication: Excellent written and verbal communication skills to create proposals, deliver training, and document networks effectively. Security Knowledge: Strong grasp of security best practices, including ACLs, firewalls, IPS, 802.1x, AAA, and defense-in-depth strategies. Additional Skills (Preferred): Experience with network automation tools (e.g., Python, Go, Ansible). Consulting background with a track record of managing client expectations and delivering results. The network architect has three areas of responsibility: Audit a variety of networks and plan IPv4 renumbering, IPv6 deployment, and recommend security and other best practices. Train and explain technical topics to non-technical people, including staff and potential clients. Provide architectural guidance on potential products and services. Benefits: Medical, Dental, Vision, 401K Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.

Job Description Job Description At Findorff, we bring expertise and value that extends far beyond construction. Since 1890, we've built our reputation on strong relationships, innovative thinking, and a commitment to helping our teams and clients succeed. As technology becomes increasingly essential to how we operate, we're investing in modern data solutions that empower smarter decisions, improve business performance, and support the future of our organization. What We Are Looking For 5+ years of experience in data engineering, data architecture, database development, data integration, or a related field Demonstrated success designing and supporting enterprise data platforms, data warehouses, lakehouses, and cloud-based data solutions Advanced expertise in SQL, Python, data modeling, relational databases, and modern integration practices Experience building and maintaining scalable data pipelines, ETL processes, and enterprise integrations across multiple business applications Strong understanding of data governance, quality management, security, and architecture best practices Proven ability to partner with technical and non-technical stakeholders to translate business needs into practical data solutions Located in or willing to work from Madison or Milwaukee, Wisconsin (Hybrid/Remote) What You'll Do As a Sr. Data Architect Engineer, you'll lead the strategy, design, and development of enterprise data solutions that support business operations, analytics, artificial intelligence initiatives, and data-driven decision making. You'll serve as a technical leader responsible for creating scalable, secure, and reliable data architecture while partnering with stakeholders across the organization to unlock the value of enterprise data. Design Enterprise Data Architecture: Develop and maintain scalable data architectures, models, standards, and integration frameworks that support both operational and analytical business needs. Lead the evolution of Findorff's enterprise data platform and establish best practices for future growth. Build and Optimize Data Solutions: Design, develop, and support data pipelines, ETL processes, APIs, and cloud-based integrations that connect critical business systems and deliver reliable, high-quality data across the organization. Drive Data Governance and Quality: Champion data integrity, governance, security, and ownership standards while identifying opportunities to improve consistency, reliability, accessibility, and trust in enterprise data. Lead Business-Focused Innovation: Partner with business leaders, analysts, and application owners to understand requirements, define solution strategies, and support initiatives related to reporting, analytics, process improvement, and artificial intelligence. Ensure Platform Reliability and Performance: Monitor, troubleshoot, and continuously improve data platforms and integrations through testing, observability, automation, and performance optimization, ensuring dependable access to critical business information. Why Findorff Employee-owned (ESOP) to build long-term wealth alongside your career Technology transformation opportunities that allow you to make a meaningful impact on the future of the organization Modern cloud-based ecosystem including Snowflake, Azure, and enterprise business applications Collaborative culture where technology partners closely with business teams to solve real-world challenges People-first environment grounded in respect, accountability, innovation, and continuous improvement Plus: Competitive compensation, 401(k) + contributions, profit sharing, generous PTO, paid parental leave, on-site fitness center, heated parking, and strong career development support. Diversity matters. Findorff recognizes the talents of all, appreciating the different backgrounds, experiences, and perspectives that make us a stronger company and partner for the communities we live and work in. Findorff provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: Public Cloud Security Architect Location: New York City, NY Type: Contract -Onsite Responsibilities: Lead architecture and implementation of Palo Alto Strata Cloud Manager (SCM) Design secure cloud network architectures across AWS/Azure/GCP Define standards, best practices, and security frameworks Oversee integration of Palo Alto services into enterprise cloud environments Provide technical leadership and guidance to engineering teams Collaborate with stakeholders to align security architecture with business goals Requirements: Strong experience with Palo Alto Networks (SCM implementation required) Proven experience in cloud security architecture (AWS/Azure/GCP) Deep understanding of network security, firewalls, and cloud integrations Experience leading design and architecture decisions Excellent stakeholder communication and leadership skills Minimum experience: 10 years System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description At Findorff, we bring expertise and value that extends far beyond construction. Since 1890, we've built our reputation on strong relationships, innovative thinking, and a commitment to helping our teams and clients succeed. As technology becomes increasingly essential to how we operate, we're investing in modern data solutions that empower smarter decisions, improve business performance, and support the future of our organization. What We Are Looking For 5+ years of experience in data engineering, data architecture, database development, data integration, or a related field Demonstrated success designing and supporting enterprise data platforms, data warehouses, lakehouses, and cloud-based data solutions Advanced expertise in SQL, Python, data modeling, relational databases, and modern integration practices Experience building and maintaining scalable data pipelines, ETL processes, and enterprise integrations across multiple business applications Strong understanding of data governance, quality management, security, and architecture best practices Proven ability to partner with technical and non-technical stakeholders to translate business needs into practical data solutions Located in or willing to work from Madison or Milwaukee, Wisconsin (Hybrid/Remote) What You'll Do As a Sr. Data Architect Engineer, you'll lead the strategy, design, and development of enterprise data solutions that support business operations, analytics, artificial intelligence initiatives, and data-driven decision making. You'll serve as a technical leader responsible for creating scalable, secure, and reliable data architecture while partnering with stakeholders across the organization to unlock the value of enterprise data. Design Enterprise Data Architecture: Develop and maintain scalable data architectures, models, standards, and integration frameworks that support both operational and analytical business needs. Lead the evolution of Findorff's enterprise data platform and establish best practices for future growth. Build and Optimize Data Solutions: Design, develop, and support data pipelines, ETL processes, APIs, and cloud-based integrations that connect critical business systems and deliver reliable, high-quality data across the organization. Drive Data Governance and Quality: Champion data integrity, governance, security, and ownership standards while identifying opportunities to improve consistency, reliability, accessibility, and trust in enterprise data. Lead Business-Focused Innovation: Partner with business leaders, analysts, and application owners to understand requirements, define solution strategies, and support initiatives related to reporting, analytics, process improvement, and artificial intelligence. Ensure Platform Reliability and Performance: Monitor, troubleshoot, and continuously improve data platforms and integrations through testing, observability, automation, and performance optimization, ensuring dependable access to critical business information. Why Findorff Employee-owned (ESOP) to build long-term wealth alongside your career Technology transformation opportunities that allow you to make a meaningful impact on the future of the organization Modern cloud-based ecosystem including Snowflake, Azure, and enterprise business applications Collaborative culture where technology partners closely with business teams to solve real-world challenges People-first environment grounded in respect, accountability, innovation, and continuous improvement Plus: Competitive compensation, 401(k) + contributions, profit sharing, generous PTO, paid parental leave, on-site fitness center, heated parking, and strong career development support. Diversity matters. Findorff recognizes the talents of all, appreciating the different backgrounds, experiences, and perspectives that make us a stronger company and partner for the communities we live and work in. Findorff provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description Job Description Senior Cloud Security Specialist Washington, DC - 100% Onsite Per Federal contract U.S. citizenship is required Must be able to obtain Public Trust clearance W2 or C2C Application Deadline: Sept 15th We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division at the Board of Governors of the Federal Reserve. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: • Required Experience: o Minimum 5 years hands-on AWS security experience • Personnel Qualifications o AWS Certified Security - Specialty (strongly preferred) o AWS Certified Solutions Architect - Professional or Associate • Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. • Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 • Possess deep analytical, problem-solving, and troubleshooting experience, to • independently resolve complex security challenges. • Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. • Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. • Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) • Self-motivated and able to work independently • Strong attention to detail The Consultant shall deliver, but not limited to, the following: • Conduct regular security reviews of cloud infrastructure deployed by engineering teams • Evaluate infrastructure-as-code against security standards • Review and validate compliance with security policies and best practices • Assess adherence to AWS Well-Architected Framework security pillar • Identify and document security misconfigurations and non-compliant controls • Develop and maintain security posture dashboards • Create or update security configuration guides and playbooks • Offer technical consultation to engineering teams on secure implementation • Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. • Develop and update AWS security configuration standards • Conduct security training sessions for engineering teams • Present findings and recommendations in team meetings • Identify opportunities to automate security assessments • Recommend security tooling improvements Ref:

Job Description Job Description Description: Direct Hire Hybrid schedule in Plano, TX Comp range: $150-180K 15% travel (including int 'l ) MUST BE US CITIZEN or GREEN CARD HOLDER (No C2C) JOB DESCRIPTION Architect the Future of Enterprise Intelligence The Senior Data Architect provides technical leadership across the company's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans traditional data management (DBMS, data modeling, warehousing, governance) and modern cloud native/AI data engineering on AWS, including bronze, silver, gold patterns, Generation (RAG) for LLMs, and data products that serve Cloud-native SaaS application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g., Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and feature/knowledge layers to support SageMaker training/inference and Amazon Bedrock applications (e.g., Knowledge Bases, Guardrails, Agents, and Invoke Model/Converse orchestration). Lead RAG architectures (chunking, embeddings, retrieval) using vector databases such as Amazon OpenSearch Serverless (vector search) or Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set prompt, context, and token budget standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems: SQL Server, PostgreSQL, MongoDB, including schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern EDW/ Lakehouse/ODS patterns; integrate with .NET/C# services and Angular frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define API and data contract standards (REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for .NET/C# and Angular consumers. Orchestrate ingestion from SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g., MSK/Kinesis, DMS, Glue). Partner with Solution/Platform Architects to ensure microservices and event driven designs are data efficient and observability ready. Data Governance, Quality & Observability Implement data governance (policies, stewardship, data classification), cataloging (Glue Data Catalog), lineage (Open Lineage compatible), and quality (rules, thresholds, SLAs/SLOs). Embed monitoring & cost governance (CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with data minimization, tokenization, masking, and access controls across environments. Define secure patterns for model inputs/outputs (LLM safety), prompt hygiene, and guardrails to prevent leakage or misuse. Delivery Leadership & Collaboration Produce architecture blueprints, target state designs, and build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead design reviews, threat modeling, and cost/performance reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of engineering excellence and learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g., AWS Data Analytics/Solutions Architect preferred). 10+ years designing and delivering enterprise data solutions, including hands-on work with both traditional DBMS and cloud native data platforms. 5+ years building on cloud platforms with production experience in several of: S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing data propagation Lakehouse patterns and governance at scale. Proven track record supporting AI/ML workloads (feature stores, model data pipelines) and delivering RAG solutions with vector search on AWS. Strong SQL and Python; proficiency in data modeling - IFC (preferred), 3NF, dimensional/star, data vault, etc. DBMS: SQL Server, PostgreSQL (schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering: Spark/EMR, Glue (ETL/ELT & Studio), Airflow/Step Functions orchestration, Parquet/Delta/Iceberg. Streaming/CDC: MSK/Kinesis, DMS (change data capture), event driven patterns. Security & Governance: IAM, KMS, Lake Formation, Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement: Amazon Bedrock (Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval, prompt design, token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs, cost controls (storage/compute), workload rightsizing. DevOps/MLOps/IaC: Git, CI/CD for data pipelines; Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with Redshift RA3/Spectrum, materialized views, workload management, and federated queries (Athena/Glue). Familiarity with Power BI / Microsoft Fabric and Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies (anonymization, differential privacy), policy as code, and guardrail frameworks. Experience working with geographically distributed teams and regulated data. Strategic thinking with the ability to balance short-term increments and long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Tulsa

Job Description Job Description Senior Cloud Security Specialist 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship Required Must be able to pass enhanced FBI background screening (criminal, financial and finger printing) for Public Trust clearance Performance Period: June 2026- Dec , with the possibility of multi-year extension based on performance W-2 or C2C Deadline to apply May 5th PROJECT DESCRIPTION: The IT Security Engineering team is seeking a Senior Cloud Security Specialist with deep expertise in AWS cloud services, cloud-native security tools and services. BACKGROUND: We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: Required Experience: Minimum 5 years hands-on AWS security experience Personnel Qualifications AWS Certified Security - Specialty (strongly preferred) AWS Certified Solutions Architect - Professional or Associate Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 Possess deep analytical, problem-solving, and troubleshooting experience, to independently resolve complex security challenges. Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) Self-motivated and able to work independently Strong attention to detail The Consultant shall deliver, but not limited to, the following: Conduct regular security reviews of cloud infrastructure deployed by engineering teams Evaluate infrastructure-as-code against security standards Review and validate compliance with security policies and best practices Assess adherence to AWS Well-Architected Framework security pillar Identify and document security misconfigurations and non-compliant controls Develop and maintain security posture dashboards Create or update security configuration guides and playbooks Offer technical consultation to engineering teams on secure implementation Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. Develop and update AWS security configuration standards Conduct security training sessions for engineering teams Present findings and recommendations in team meetings Identify opportunities to automate security assessments Recommend security tooling improvements PLACE OF PERFORMANCE: On-site at FRB locations, Washington, DC CITIZEN STATUS: U.S. Citizenship is required per Federal Contract INTERVIEW: Selected candidates will participate in a phone screening. Those that pass the phone screening may be invited to an in-person interview. The use of video conference tools (e.g., MS Teams or WebEx) can be used in accordance with agency guidelines. Ref:

Job Description Job Description Job Title: Data Architect- Wealth Management Location: Naperville, IL Type: Direct Hire Compensation: Open Work Model: Onsite Hours: 40.0 Security Clearance: N/A Responsibilities Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. Proven track record designing large scale data platforms on AWS. Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. Experience handling sensitive data with appropriate security, privacy, and compliance controls. Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). Databases: RDS, Aurora, DynamoDB. Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). Enterprise architecture framework experience (e.g., TOGAF). Experience with data cataloging and governance tools (e.g., Collibra, Alation). Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. Exposure to machine learning / advanced analytics enablement. Experience with data mesh or domain oriented data architecture. Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description This is NOT a remote position Job Description Eccalon is seeking a Senior SDET / QA Automation Engineer to build and own the automated testing strategy across our web applications and backend services supporting DoD, Intelligence, and enterprise programs. You will design and maintain robust test frameworks, integrate quality gates into CI/CD pipelines, and ensure the reliability of systems operating in regulated, compliance-driven environments. This is a hands-on senior role with broad visibility across the full engineering stack-working directly with software engineers, DevOps, and product teams to shift quality left and keep mission-critical software shipping with confidence. Responsibilities Test Automation & Framework Development Design, build, and maintain end-to-end UI automation frameworks using Playwright and/or Cypress across multiple web applications (e.g., lynxconnect.io, ). Develop and maintain API and backend test suites using Postman collections and REST Assured; validate authentication flows, data integrity, and service contracts. Write clean, maintainable test code in Python and/or JavaScript/TypeScript ; enforce consistent standards through code reviews and shared libraries. Build reusable test utilities, fixtures, and data factories that reduce test setup overhead and improve suite reliability. CI/CD Integration & Quality Gates Integrate automated test suites into CI/CD pipelines (GitLab CI/CD) to enforce quality gates on every pull request and deployment. Configure and maintain synthetic monitoring scripts (e.g., Playwright-based uptime checks) for production applications; triage and resolve false positives. Define and track test coverage metrics, pass rates, and flakiness trends; report quality signals to engineering leadership. API & Backend Testing Validate REST APIs against specifications; test authentication and authorization flows including OAuth2, SAML, OIDC, and JIT provisioning patterns. Develop data-driven test scenarios against AWS-hosted services (RDS/PostgreSQL, DynamoDB, Cognito) and Azure-backed platforms (GCC High). Collaborate with backend engineers to identify testability gaps in service design and recommend interface contracts that support automation. Cross-functional Collaboration & Quality Strategy Partner with DevOps, software engineering, and IT teams to embed testing earlier in the development lifecycle; contribute to definition-of-done criteria. Serve as the quality subject matter expert on the team-mentoring engineers on test best practices, automation patterns, and tooling selection. Maintain test documentation, test plans, and traceability matrices that satisfy compliance audit and ATO evidence requirements. Evaluate and recommend improvements to the overall QA toolchain and processes as applications and team scale. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field-or equivalent practical experience. 5+ years of experience in software development engineering in test (SDET), QA automation, or a related discipline. Hands-on proficiency with Playwright and/or Cypress for end-to-end UI test automation. Strong API testing skills using Postman (including collections, environments, and Newman for CI execution) and/or REST Assured. Solid programming skills in JavaScript/TypeScript and/or Python; ability to write production-quality test code, not just record-and-replay scripts. Experience integrating test automation into CI/CD pipelines (GitLab CI/CD, or Jenkins). Familiarity with AWS services (Cognito, RDS, DynamoDB, CloudWatch) and how they factor into end-to-end test design. Experience testing authentication and authorization flows (OAuth2, SAML, OIDC, MFA). Strong understanding of HTTP, REST, JSON, and web application architecture. Ability to work independently, prioritize across multiple projects, and communicate quality risk clearly to technical and non-technical stakeholders. Preferred Qualifications Experience with synthetic monitoring and uptime automation (e.g., Playwright-based health checks, Pingdom scripting). Familiarity with NIST 800-171, CMMC, or FedRAMP testing and traceability requirements. Experience testing applications hosted on Azure GCC High or AWS GovCloud environments. Background in performance or load testing (k6, JMeter, or Locust). Experience with accessibility testing (WCAG 2.1, 508 compliance) and security-focused test cases (OWASP Top 10 validation). ISTQB certification or equivalent QA/testing credential.

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description W2 only - NO C2C candidates, NO 3rd parties For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data platform on AWS. In this hands on architecture role, you will shape the data foundations that power wealth management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. This role is located onsite at the client's office in Naperville, IL. This is a hybrid work scheduled. Future Responsibilities: . Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. . Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. . Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. . Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. . Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. . Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. . Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. . Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. . Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements: . 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. . Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. . Proven track record designing large scale data platforms on AWS. . Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. . Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. . Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. . Experience handling sensitive data with appropriate security, privacy, and compliance controls. . Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. . AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. . Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). . Databases: RDS, Aurora, DynamoDB. . Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. . Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. . BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills . AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). . Enterprise architecture framework experience (e.g., TOGAF). . Experience with data cataloging and governance tools (e.g., Collibra, Alation). . Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. . Exposure to machine learning / advanced analytics enablement. . Experience with data mesh or domain oriented data architecture. . Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. . . Ref: Pittsburgh

Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: June, 1st at 3pm Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Job Title: EOIR Task Order Manager/Data Architect- EDI Location: Alexandria, VA Type: Contract Compensation: $175,000.00 - $185,000 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Must be able to obtain and maintain a DOJ Public Trust level security clearance Overview Responsibilities • Lead the planning, initiation, and management of the EOIR Enterprise Data Infrastructure (EDI) task order, serving as the primary liaison with the Contracting Officer and Contracting Officer Representative. • Supervise technical staff, ensuring timely delivery of all project milestones in accordance with scope and quality standards. • Develop and maintain key project documentation including the Task Order Management Plan, Quality Control Plan, Transition Plans, and Telework Management Plans. • Monitor project progress to meet deadlines, standards, and budget targets on a Firm-Fixed-Price contract. • Coordinate with department contract staff to provide fully integrated IT support for EOIR. • Lead a cross-functional team comprising data infrastructure, engineering, governance, analytics, search, cybersecurity, and quality professionals. • Design enterprise database system strategies and establish technical standards for data operations, development, and security across on-premises, cloud, and hybrid environments. • Design and construct data pipelines, ingestion processes (ETL/ELT), and data transformation rules, ensuring compliance with government standards. • Provide technical oversight and review for data architecture, pipelines, and workflows. • Lead integration of new systems with existing warehouse structures, focusing on system performance and continuous improvement. • Drive the delivery of analytics, reports, and dashboards using tools such as Microsoft Power BI. • Enhance enterprise search and unstructured data discovery capabilities while maintaining strict access controls per DOJ, FISMA, and FedRAMP security standards. • Lead data governance and quality management efforts, including metadata creation and data lineage documentation. • Conduct current-state assessments, identify gaps and risks, and develop mission-focused, cost-effective improvement roadmaps. Requirements • Bachelor's degree in Computer Science, Information Technology, Data Science, Systems Engineering, or a related discipline (Master's preferred). • Ability to obtain and maintain a DOJ Public Trust security clearance (active or recent high-level clearance preferred). • 8-10 years of experience in enterprise IT, with at least 5 years as a Data Architect, Data Engineer, or Enterprise Architect. • Minimum of 5 years managing IT projects and programs, with experience in Federal Firm-Fixed-Price contracts. • Proven experience in enterprise data architecture, standards, and documentation including data dictionaries, metadata, and lineage. • Demonstrated capability in dashboard/reporting development, data quality assessments, and enterprise search improvements. • Experience conducting current-state assessments and developing technical roadmaps. • PMP certification required. • Technical certifications such as CDMP, AWS Certified Data Engineer, Microsoft Certified Azure Data Engineer, or AWS/Azure Solutions Architect highly preferred. • Deep understanding of modern data ingestion techniques, data governance platforms, enterprise search technologies, and BI tools such as Microsoft Power BI. • Exceptional written and verbal communication skills, capable of translating technical concepts to non-technical stakeholders. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the Modern Disability Claims program. This role will focus on designing, building, and maintaining scalable data architectures that support claims intake, adjudication workflows, clinical and claims data integration, and performance analytics for the program. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Key Responsibilities Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure. Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives. Implement and maintain data governance, security, data quality, and integrity standards across data environments. Monitor and optimize database and data platform performance, scalability, reliability, and availability. Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or a related field. 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design. Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. Experience developing and automating large-scale data environments. Preferred Qualifications Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments. Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices. Experience supporting defense, healthcare, benefits administration, or other mission-critical federal programs. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Architecture & Platform Strategy Define and evolve the target-state architecture for the self-serve data, AI, and agentic AI platform, aligned to enterprise strategy, data mesh principles, and regulatory requirements Establish enterprise standards and reference architectures for data products, semantic layer services, AI/LLM gateways, agent orchestration, and API- and MCP-based data access Architect the platform layers that let AI systems and agents find, trust, ask, and act on enterprise data - including data product interfaces, semantic context services, and governed write/action patterns Define tiered certification and governance patterns that scale data product trust from registered assets to autonomous-grade, AI-ready products Establish foundational patterns for retrieval, context enrichment, grounding, and tool exposure (RAG, semantic layer, MCP tool surfaces) to support agentic and real-time decisioning use cases Engineering & Infrastructure Lead engineering of scalable, secure platform infrastructure on AWS (S3, Lake Formation, Glue, EKS, Bedrock, IAM, networking) and Databricks (Unity Catalog, Delta Lake, Delta Live Tables, Databricks SQL, MLflow, Mosaic AI) Engineer the agentic AI platform stack: agent runtimes, orchestration, agent identity and access management, action/write contracts, evaluation harnesses, and observability Implement platform engineering best practices: infrastructure-as-code (Terraform), CI/CD, automated testing, environment promotion, and GxP/Part 11-compliant change management Drive operational excellence across reliability, cost management (FinOps for data and AI workloads), observability, and incident response, grounded in SRE and Well-Architected practices Ensure security, data protection, and access governance patterns (fine-grained entitlements, row/column-level controls, audit lineage) meet regulated-industry requirements Delivery Leadership & Product Management Contribute to the platform product roadmap: define outcomes, prioritize the backlog, and sequence capability delivery against enterprise AI adoption goals Lead delivery across a team of vendor partners, holding the team to clear standards for quality, velocity, and operability Drive build/buy/adopt decisions with rigor - vendor evaluation, kill criteria, and total-cost analysis - and integrate acquired capabilities into a coherent platform experience Define and track platform health and adoption metrics (DORA, reliability SLOs, self-serve adoption, time-to-data-product) and report progress to senior leadership Serve as a trusted advisor and technical leader: mentor engineers, run architecture reviews, and partner with business domains to identify and enable high-value data and AI use cases Communicate architecture and trade-offs crisply to audiences from engineers to Director/VP. stakeholders, simplifying complexity without losing rigor Basic Qualifications 10+ years in platform engineering, data engineering, or enterprise data/AI platform architecture, including 3+ years leading engineering teams or major platform programs Deep hands-on expertise with AWS data and AI services, including S3, Lake Formation, Glue, EKS, Bedrock, Kinesis/MSK, IAM, and Terraform-based infrastructure automation Strong production experience with Databricks: Unity Catalog, Delta Lake, Delta Live Tables, Databricks SQL, MLflow, and workspace/governance administration at enterprise scale Demonstrated experience designing or building agentic AI or LLM-powered systems: agent orchestration, RAG pipelines, LLM gateways, tool/function calling, MCP or comparable protocols, and AI evaluation/observability Proven ability to build resilient, scalable pipelines for high-volume batch and streaming data, with proficiency in SQL and Python (or Scala/Java) Strong understanding of distributed systems, event-driven architecture, workflow orchestration, and API-first integration patterns Experience designing secure, governed, production-grade cloud architectures, including fine-grained access control, lineage, and auditability Track record of delivery leadership: roadmap ownership, backlog management, cross-functional coordination, and shipping platform capabilities that achieve measured adoption Excellent communication skills with the ability to simplify complexity and influence senior decision-makers Preferred Qualifications Experience in biopharma, life sciences, or other heavily regulated domains, with working knowledge of GxP, 21 CFR Part 11, and computer system validation Background in data mesh or federated data architectures, data product operating models, and domain enablement at enterprise scale Experience with semantic layer technologies, knowledge graphs, metadata/catalog platforms, and data contract frameworks Familiarity with FinOps for data and AI workloads, including cost attribution, chargeback/showback, and LLM token economics Experience managing large vendor/partner ecosystems and running structured vendor evaluations with defined success and kill criteria Product management experience or certification; familiarity with DORA metrics, SPACE framework, and platform-as-a-product operating models AWS Professional (Solutions Architect or Data Analytics) and/or Databricks certifications The salary range for this position is: $168,980.00 - $218,680.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. . click apply for full job details