PeopleNTech LLC

Job Description Job Description Indent : PSL307991-4 Role : Informatica IDMC Platform Operations and Engineer (3 Open position) Location : Charlotte, NC (Hybrid) Rate: $55 to $60/hr Role Overview We are seeking an experienced Informatica Platform Operations and Engineer to manage, engineer, secure, and support enterprise Informatica platforms. The role requires strong hands-on knowledge of Informatica Intelligent Data Management Cloud, or IDMC, including its Cloud Data Integration capabilities and the cloud-based successor technologies used for enterprise data integration. IDMC provides services for building mappings, tasks, and taskflows, while its administrative capabilities include user and privilege management, Secure Agent and runtime environment configuration, connections, licenses, and schedules. The engineer will be responsible for platform administration, environment reliability, security compliance, cloud migration, operational support, automation, monitoring, upgrades, and engineering improvements. The role will work closely with Application Security, Infrastructure, Cloud Engineering, Data Engineering, Architecture, IAM, DevOps, and Production Support teams. Key Responsibilities Informatica IDMC Platform Engineering Engineer, administer, configure, and support enterprise Informatica IDMC environments. Support Informatica Cloud Data Integration services, including mappings, mapping tasks, taskflows, schedules, connections, and runtime environments. Install, configure, manage, patch, and troubleshoot Informatica Secure Agents and Secure Agent groups. Support IDMC runtime environments across cloud, on-premises, and hybrid infrastructure. Configure and maintain connections to databases, cloud data platforms, applications, APIs, file systems, and other enterprise data sources. Manage platform configurations across development, testing, UAT, pre-production, disaster recovery, and production environments. Participate in the migration and modernization of Informatica PowerCenter workloads to IDMC and Cloud Data Integration. Support CIBDC/CDI Advanced or equivalent cloud-native Informatica data integration capabilities. Evaluate platform enhancements and implement reusable engineering standards, configuration patterns, and operational controls. Platform Operations and Production Support Monitor the health, availability, capacity, performance, and utilization of Informatica platform services. Troubleshoot failed workflows, mappings, tasks, taskflows, connections, agent services, and runtime environment issues. Analyze platform logs and operational alerts to identify root causes and restore services. Provide production support and serve as an escalation point for complex Informatica platform incidents. Lead incident triage, problem management, root cause analysis, and preventive remediation. Develop and maintain operational dashboards, alerts, health checks, and platform availability reports. Participate in release, change, incident, problem, and configuration management processes. Support production deployments, maintenance activities, disaster recovery exercises, and environment validation. Create and maintain support documentation, knowledge articles, operating procedures, architecture diagrams, and recovery runbooks. Internal CCIBT platform-support materials emphasize production monitoring, deployments, vulnerability remediation, security patching, operational documentation, and alignment with IT service-management processes. Application Security and Access Management Partner with the Application Security team to implement secure platform configurations and operational controls. Administer IDMC users, user groups, roles, privileges, permissions, and project-level access. Implement and support role-based access control and least-privilege access principles. Integrate the platform with enterprise authentication, authorization, and identity-management services. Perform periodic access reviews and assist with the remediation of inappropriate or outdated access. Manage service accounts, technical accounts, credentials, certificates, secrets, and connection security in accordance with enterprise policies. Support vulnerability remediation, security patching, certificate renewal, credential rotation, and platform hardening. Provide technical evidence and platform documentation for security reviews, risk assessments, and audit requests. Investigate access-related incidents and work with security teams to implement corrective actions. Ensure that sensitive configuration information and credentials are appropriately protected. Cloud Migration and Modernization Support migration from legacy Informatica PowerCenter and related on-premises components to IDMC. Assess existing mappings, workflows, sessions, schedules, dependencies, and connections for cloud migration. Identify compatibility gaps and recommend remediation or redesign approaches. Plan and execute migration, testing, validation, cutover, and stabilization activities. Support coexistence between legacy PowerCenter and IDMC during phased migration. Establish cloud-ready development, deployment, monitoring, and support standards. Optimize migrated workloads for performance, maintainability, scalability, security, and operational supportability. Maintain traceability between legacy Informatica assets and corresponding IDMC assets. DevOps, Automation and Release Engineering Automate repetitive platform administration and operational activities using scripting and APIs. Develop automation for environment provisioning, deployment, configuration validation, monitoring, health checks, and operational reporting. Integrate Informatica deployments with enterprise CI/CD pipelines. Support source control, version management, automated deployment, rollback, and release traceability. Promote consistent configurations and deployment processes across multiple environments. Develop reusable automation using shell scripting, Python, PowerShell, REST APIs, or equivalent technologies. Support release validation and post-deployment verification. Identify opportunities to reduce manual effort and improve platform reliability through automation. Reliability, Performance and Capacity Management Establish platform monitoring and service-health indicators for critical Informatica components. Perform performance analysis and tuning for mappings, tasks, taskflows, runtime environments, and Secure Agents. Monitor CPU, memory, storage, network, connection, and workload utilization. Identify bottlenecks involving source systems, target systems, agents, runtime clusters, or data-processing logic. Conduct capacity and growth analysis and recommend scaling actions. Support high availability, resiliency, backup, recovery, and disaster-recovery requirements. Validate restart, recovery, job resumption, and failure-handling procedures. Drive improvements that increase platform stability, supportability, and operational readiness. Stakeholder Collaboration Work closely with Informatica developers, data engineers, application owners, security teams, IAM teams, cloud engineers, database administrators, network teams, and infrastructure engineers. Provide platform guidance to application teams designing or migrating Informatica workloads. Review solution designs for operational readiness, security, supportability, and compliance with platform standards. Coordinate with Informatica support for product defects, platform issues, and complex troubleshooting. Communicate platform risks, issues, dependencies, and remediation plans to technical and management stakeholders. Provide technical leadership and mentoring to platform operations and engineering team members. Required Qualifications Strong professional experience in Informatica platform administration, platform engineering, or platform operations. Hands-on experience with Informatica IDMC and Cloud Data Integration. Experience managing Informatica Secure Agents, runtime environments, connections, schedules, users, groups, roles, and privileges. Experience supporting enterprise Informatica environments across development, testing, UAT, and production. Strong troubleshooting experience involving Informatica mappings, tasks, taskflows, agents, connectors, and platform services. Experience with Informatica PowerCenter administration and cloud-migration initiatives. Understanding of IDMC platform security, access management, credential management, and role-based access control. Experience supporting production incidents, root cause analysis, release management, and change management. Experience with public cloud or hybrid-cloud environments. Strong knowledge of Linux or Unix administration and scripting. Experience with REST APIs, automation, and CI/CD tools. Working knowledge of databases and SQL. Knowledge of networking concepts, including DNS, firewalls, proxies, ports, certificates, and secure connectivity. Experience creating operational documentation, SOPs, runbooks, and troubleshooting guides. Strong analytical . click apply for full job details

Job Description Job Description Role : Azure Data Architect with Databricks Expertise Location : Iselin, NJ (Hybrid) Rate: $75/hr to $77/hr Experience : 15 Job Summary: We are seeking highly skilled Azure Data Architect with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions. Key Responsibilities: Data Pipeline Development: Build and maintain scalable ETL/ELT pipelines using Databricks. Leverage PySpark/Spark and SQL to transform and process large datasets. Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems. Collaboration & Analysis: Work Closely with multiple teams to prepare data for dashboard and BI Tools. Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions. Performance & Optimization: Optimize Databricks workloads for cost efficiency and performance. Monitor and troubleshoot data pipelines to ensure reliability and accuracy. Governance & Security: Implement and manage data security, access controls and governance standards using Unity Catalog. Ensure compliance with organizational and regulatory data policies. Deployment: Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments. Manage version control for Databricks artifacts and collaborate with team to maintain development best practices. Technical Skills: Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.) Proficiency in Azure Cloud Services. Solid Understanding of Spark and PySpark for big data processing. Experience in relational databases. Knowledge on Databricks Asset Bundles and GitLab. Preferred Experience: Familiarity with Databricks Runtimes and advanced configurations. Knowledge of streaming frameworks like Spark Streaming. Experience in developing real-time data solutions. Certifications: Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)

Job Description Job Description Indent : SF_OP_208618-1 Role : Data Architect Location : Purchase, NY (Hybrid) Rate: $75 to $80/hr The successful candidate will establish the architectural vision for modernizing data platforms across hybrid cloud and on-premises environments, supporting both high-volume batch processing and low-latency, real-time workloads. This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Client data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions. • Define and evolve Client's global data architecture strategy across hybrid cloud and on-premises environments. • Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements. • Champion Data Mesh principles, enabling data-as-a-product capabilities, federated ownership, governance, and self-service access. • Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. • Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP. • Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. • Enable both real time and batch analytics use cases to support high availability, mission critical workloads. • Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures. • Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking. All About You: • Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. • Deep expertise designing, building, and operating distributed data systems at global scale. • Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms. • Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP. • Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. • Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. • Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. • Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

Job Description Job Description Role : Solution Data Architect (Healthcare Domain) Location : Raleigh NC (Onsite) Bill Rate : $85 Indent : SF_OP_199451-2-1 Solution Data Architect Role with strong Healthcare Domain experience Databricks Technology. Lead customer interactions, requirement gathering, and solution definition Own end-to-end data architecture across ingestion, warehouse, and data marts. Design scalable data platforms using modern stack (ADF, Fabric, Databricks, Snowflake) Define and drive ingestion frameworks for batch, CDC, and real-time data pipelines Architect data models (DW, marts, semantic layer) aligned to business use cases Provide strong technical leadership, design governance, and best practices Drive transition of requirements/design to offshore teams with clear documentation and guidance Ensure performance optimizations, data quality, security, and cost efficiency Collaborate with business and analytics teams to deliver data-driven solutions

Job Description Job Description Indent ID: PSL310659-1 Role - MS Fabrics Data Architect with Manufacturing Domain EXP Rate: $78-82/hr Client: Manufacturing Domain Remote / WFO / Hybrid: Remote Hire Type (FTE/Contract): Open to both No. of client interviews for this role: 1 Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future JD: 13 years of experience in Data Architecture and Data Engineering. Architect and design enterprise-scale data platforms using Microsoft Fabric. Lead end-to-end implementation of OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Analytics, and Power BI solutions. Design and implement Medallion Architecture (Bronze, Silver, Gold) for enterprise data processing. Manufacturing Domain Experience is must(Manufacturing Execution Systems, Production Planning & Scheduling etc) Knowledge of AI/ML, Predictive Maintenance, and Manufacturing Analytics. Lead architecture reviews, solution design workshops, and technical governance meetings. -

Job Description Job Description Indent : SF_OP_209178-4 Role : Performance Test Engineer Location : Scottsdale, AZ (Hybrid) Rate: $65/hr to $70/hr Performance testing of REST APIs and distributed services Test scripting and test-data preparation Response-time percentile analysis, including P95 and P99 Throughput, latency and error-rate analysis Load, stress, spike, capacity and endurance testing JVM performance fundamentals Bottleneck identification and root-cause analysis Performance-test reporting Experience testing Java and Spring Boot services. Understanding of JWT and OAuth-based request flows. Experience monitoring Kubernetes or Amazon EKS workloads. Knowledge of JVM memory, threads, connection pools and garbage collection. Familiarity with Honeycomb or comparable observability platforms. Experience testing containerised, autoscaled services. Familiarity with API gateways and dependent identity services. Experience integrating performance tests into GitLab CI pipelines.

Job Description Job Description Client Name Persistent systems Ltd. Indent ID SF_OP_207643-1 PTalent Job# 184643 Position Title Automation QA Expert (AI) Location Remote Hybrid working Remote Employment Type Fulltime and C2C Visa Type Only USC or GC Rate Fulltime salary - $110,000 to $120,000 Benefits / C2C rate - $75/hr. Job Description Lead the transformation of legacy test automation frameworks into scalable, AI-enabled automation platforms leveraging modern tools, reusable components, and cloud-native architectures. Utilize Generative AI and AI-assisted engineering tools to accelerate test design, script generation, test data creation, defect analysis, and automation maintenance, improving productivity and test coverage. Design and implement intelligent test automation solutions across UI, API, data, and integration layers using contemporary automation frameworks and CI/CD pipelines. Drive automation architecture, framework governance, and best practices , ensuring maintainability, reliability, observability, and seamless integration with DevSecOps processes. Partner with development, product, and quality engineering teams to identify automation opportunities, reduce technical debt, and establish next-generation quality engineering practices that improve release velocity and software quality. Key Skills: AI-assisted testing, GenAI tools (Copilot, ChatGPT, Claude, etc.), Selenium/Playwright/Cypress, API automation, CI/CD, DevOps, Python/Java/JavaScript, test framework modernization, quality engineering transformation. All candidate submissions should come with valid documents and ID proof. Submission Matrix: Name of the candidate Contact# Email ID Location Availability Visa Rate Supplier Name Particular Details LinkedIn profile Link Ptalent Applicant id Job# Profile uploaded against which Indent:RelocationETA for relocation post pandemicEducational qualification (along with Year of passing and university details)Video / In-person interview availability (Yes/No)Currently on ProjectAny CertificationInterviewed with Persistent in past 3 months

Job Description Job Description Job Title: Senior Data Architect / Data Solutions Lead (Insurance) Location : Hartford, CT 06155 (Hybrid) Rate : $75/hr. Salary : $130K Required Skills as per highlight (Duck creek is good to have not mandate) Insurance Expertise: Minimum 5 years of experience working specifically with Personal Lines data (Automobile, Homeowners, Personal Property). Duck Creek Clarity: Deep structural understanding of Duck Creek Clarity schemas, transactional databases, and operational data stores. Cloud Data Warehousing: Expert-level design experience with Snowflake, including data sharing, clustering, and cost optimization. Relational Databases: Strong mastery of PostgreSQL implementation, indexing, and complex query optimization. Programming: Advanced proficiency in Python for data manipulation, scripting, data loading to Duck Creek and ETL frameworks. Data Migration Experience: Proven track record of handling large-scale core system migrations with zero data loss. Data Quality Tools: Experience with DQ frameworks using custom Python/PostgreSQL-based validations. Job Overview We are seeking a Senior Data Architect to design and modernize data platforms across personal insurance lines, specifically Automobile, Personal, and Homeowners insurance. You will lead the modern migration of legacy core systems Mainframe and DB2 into a high-performance Duck Creek cloud ecosystem. Your primary focus will be architecting data solutions using Snowflake, PostgreSQL, and Python, with a specific emphasis on Duck Creek Clarity policy, billing, and claims data models. You will establish robust Data Quality (DQ) frameworks to ensure accurate underwriting analytics, risk profiling, and regulatory reporting. Domain-Specific Responsibilities Multi-Line Integration: Architect data models that unify distinct data streams across Auto (vehicle telematics, driving history) and Homeowners (property risk, geographic data) lines of business. Duck Creek Integration: Design and manage ingestion pipelines from Duck Creek Clarity to extract, transform, and load comprehensive policy, billing, and claims workflows. Data Migration: Lead complex migration strategies transferring high-volume personal lines historical data from legacy mainframes or relational databases to modern cloud platforms. Data Quality Frameworks: Establish automated DQ rules and profiling to ensure pristine financial reporting, accurate loss-ratio calculations, and claims tracking. Pipeline Development: Build efficient, reusable data ingestion and transformation pipelines using Python and SQL. Predictive Analytics Support: Partner with Actuarial and Underwriting teams to structure data for pricing models, geographic hazard mapping, and customer lifetime value analytics.

Job Description Job Description Role: Network Architect Location: Bridgewater NJ or Plano, TX Fulltime - Salary ($150K PA) Don't stop profiles on salary Indent: PSL308526-15-1 Network Architect should focus on bringing the Best-in-Class Network Services that creates Business Value for our customers, a great personalized service experience for end users and build a work culture of innovation & collaboration to harness the potential of our employees and partners. Each Network Architect will also collaborate with the track leads and SDMs in the delivery organization and other groups like Presales, Sale within the Organization to ensure that service meets expected levels of service and that continual improvement and service excellence are core to the ways of working. Network Architect should have worked upon Merger and Acquisition projects. A Good knowledge of broad set of Network services (Routing and Switching (BGP, OSPF, VLANs, VRFs, MPLS), WAN technologies (MPLS, SD-WAN, VPN, QoS, VoIP) and Layer 2/3 network, Firewalls (Palo Alto, FortiGate, and Cisco ASA/FTD). Role Responsibilities: Lead and Support/Guide in RFP, Solution Defense, large scale Transition and Transformation Projects. Having UpToDate knowledge of the latest and niche technologies. Should have hands on experience on the technologies listed under Technical Skills Lead and mentor a team of Network specialists, providing guidance, coaching, and technical expertise. Working closely with Presales/Sales team on the opportunities of New and Existing projects. Working closely with delivery teams, implement standard best practice in target accounts to deliver consistent service delivery and exception customer satisfaction Build strong and lasting relationships with internal and external customers, and key delivery partners by meeting with them on a regular basis to listen to their needs and concerns, to discuss our service roadmaps and evangelise Persistent capability Align our Service Delivery process to meet the client business requirements on a continual basis & foster solution innovation to solve client issues Reduce the cost of delivery by standardization of Service Delivery processes and technology solutions Implement standard governance, reporting and escalation processes across responsible accounts Establish service offerings across: Enterprise Networking (LAN/WAN/Data Center) SD-WAN, SDN, Cloud Networking & Network Security For assigned projects ensure successful execution of Due Diligence and Transition to BAU Coach Track Leads and SMEs in assigned accounts focusing on both technical and management capabilities Produce High-Level Designs (HLD) and guide Low-Level Designs (LLD). Analyze existing architectures and recommend enhancements. Define and enforce architectural standards, patterns, and governance. Provide technical leadership throughout project lifecycle. Support roadmap creation for network & security evolution. Handle escalated network and security issues (Level 3 support). Perform root cause analysis for incidents and implement preventive measures. Engage with vendors for advanced technical escalations. Ensure compliance with security standards and conduct regular audits. Monitor and mitigate security threats in real-time. Validate and maintain EoL/EoS details along with active hardware support contracts Maintain network documentation (e.g., diagrams, policies, IP schema, etc.). Evaluate and recommend new technologies for performance and security improvements. Maintain up-to-date device configuration backups and IP address inventory using IPAM. Document architectural decisions and design justifications. Build strong relationships with: CIOs, IT Heads, and leadership stakeholders Drive: Customer satisfaction Service improvement plans Lead governance meetings: Weekly / Monthly reviews Executive updates Technical Skills: Network Infrastructure: Design, deploy, and troubleshoot enterprise-level routing and switching (BGP, OSPF, VLANs, VRFs, MPLS). Architect and govern high-availability solutions (redundant links, load-balancing, failover). Manage WAN technologies (MPLS, SD-WAN, VPN, QoS, VoIP) and Layer 2/3 networks. Configure and maintain Catalyst and Nexus switches for data center and enterprise environments including software upgrades (IOS/AOS-CX/NX-OS) Perform network audits and assessments ensuring compliance with architectural standards. Manage Data Center network technologies like Cisco Nexus, ACI, NSX-T, Load Balancer, Global/Private DNS, Infoblox etc. Manage & understanding of Network Monitoring & Observability tools like Solarwind, LogicMonitor, Splunk or Grafana etc. Firewall Administration: Configure and manage Palo Alto, FortiGate, and Cisco ASA/FTD firewalls. Implement advanced firewall rules, IPS/IDS, and VPN configurations and manage security logs using management software packages such as Palo Alto Panaroma, FortiManager and/or FortiAnalyzer. Implement & troubleshoot the issues on Palo Alto, Panaroma or Strata cloud, Prisma Access etc. Optimize firewall performance and perform policy audits. Network security modernization initiatives which include understanding the SASE, ZIA, ZPA & ZDX, Palo Alto Prisma Access etc. Wireless Solutions: Deploy and maintain Wireless networks using Cisco WLCs, Meraki Dashboard, Aruba Central and access-points (Must have). Implement, configure and operate Cisco Client/Aruba CPPM for secure network access control (NAC). Design wireless architectures ensuring scalability, coverage, and security posture. Cloud Networking: Expertise in hybrid cloud setups, cloud connectivity (e.g., AWS Direct Connect, Azure ExpressRoute), and cloud-native networking services across AWS/Azure/GCP, deal with On Prem to cloud migration activities. Automation: Knowledge of network automation tools such as Ansible, Terraform, Python scripting, and related frameworks. Additional Infrastructure Exposure: Understanding of virtualization (VMware), Citrix, M365, compute/storage, backups, datacenter technologies. Experience with F5 load balancers. Experience with business continuity, disaster recovery, and HA architectures. Qualifications/Experience: Any Graduation More than 15 years of experience in Network technology Certifications: CCNP, Fortinet NSE 4/5/6/7 (preferred), Aruba ACMP (preferred). Strong analytical and problem-solving skills. Excellent communication and documentation abilities. Ability to work independently or collaboratively under pressure. Ability to manage multiple projects with shifting priorities.

Job Description Job Description Role : Enterprise Data Architect Location : remote Rate : $80/hr Role Summary The Enterprise Data Architect is responsible for defining and evolving the Commonwealth's enterprise information architecture and reusable data products to support transformation and AI priorities. This role partners with business leaders, product and engineering teams and enterprise technology org to identify which information assets should be shared across agencies and which should remain domain specific. The position will define data domains, create data models, ensure data quality, map source to domain and assist in creating contracts to support modernization initiatives and future AI capabilities. The role serves as the bridge between business processes and technical implementation, ensuring that new solutions contribute to a sustainable enterprise data foundation rather than creating additional silos. The ideal candidate possesses a comprehensive understanding of data architecture principles, practical data modeling experience, and deep expertise in data-centric architecture. Key Responsibilities Enterprise Information Architecture Define conceptual and logical data models for common business entities. Establish canonical models and enterprise information standards. Define relationships between enterprise and domain-specific data assets. Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design. Modernization Programs Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs. Analyze legacy systems and identify information assets suitable for enterprise reuse. Prevent duplication of data structures across applications and agencies. Support data migration strategies and target-state architecture. Data Product Architecture Identify and support design of reusable data products Define schemas, interfaces, metadata and quality requirements Establish product boundaries, stewardship and ownership models. Data Governance and Metadata Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability Define business definitions and data quality expectations. Platform and Technology Collaboration Work with engineering and platform teams to translate business concepts into technical designs. Partner with cloud, integration and data teams to implement enterprise data products. Promote API-first and product-based approaches to information sharing. AI Enablement Ensure enterprise data products are discoverable, governed and suitable for future AI use cases. Support semantic layers, knowledge graphs and natural language access to enterprise information. Desired Background and Experience Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience Minimum 10 years of experience in data architecture, information architecture or enterprise architecture. 8 years of hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse/data marts, MDM concepts and tools At least 5 years of experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP). Experience working with unstructured data is a plus. Experience working with data security, privacy and regulatory requirements for handling sensitive data Experience in designing and implementing data quality initiatives, including platforms and tooling Demonstrable experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders Ability to work across domains and stakeholders with strong communication skills Proven ability to develop work plans for self, resolve ambiguity and lead teams without authority Industry Experience in Public sector, Healthcare or Financial Services is preferable Candidates may have previously served as Principal Architect, Enterprise Information Architect, Solution Architect for large enterprises or modernization initiatives Success Measures During the first year, this role will Establish enterprise information architecture principles. Define reusable enterprise data products for priority domains. Support specific modernization initiatives as a model implementation. Introduce metadata and ownership standards. Enable future modernization efforts to reuse common data assets rather than recreating them. Client the foundation for enterprise analytics and AI capabilities across the Commonwealth.

Job Description Job Description Role: QA Automation Location: Houston, TX (3days/ week) Interview: In person interview Pay rate: $50.00 per hour on W2 Must have skills : Azure DevOps suite (Capable), MySQL, Playwright with TypeScript, Postman, Rest Assured Good to have skills: Job Description : Playwright automation with Typescript Rest assured API Automation Manual functional and regression Test case creation UAT testing and assisting business in UAT Agile understanding Database testing- SQL Should have good communication skills Execute UAT test cases based on business scenarios. Verify that requirements have been implemented correctly. Validate end-to-end business processes. Identify and report defects or gaps. Confirm defect fixes through retesting. Provide sign-off for production deployment. Energy domain-Optional

Job Description Job Description Detailed JD: Data Architect Role with Pharma Domain (Data Scientist): Role & Responsibilities: Oversee the completion of projects from internal kickoff, development, delivery, and continuing support Coordinating with other teams to ensure the scope of the project is correct/meeting client's expectations Manage development and other teams Set up and run internal workflows and manage data as it is modified per project. Ensure project data is prepared and uploaded to client inface in a timely manner Maintain project refresh schedule Interface with vendors: order profile information, conference abstracts Troubleshoot data issues on a project-by-project basis Collaborate with Product department on potential updates to the deliverable Looking for below Technical Domain Expertise under Health Care sector. Data Collection: Gather structured and unstructured data from internal and external sources. Data Cleaning: Process, verify, and clean data to ensure accuracy. Model Building: Design and train machine learning models and predictive algorithms. Analysis: Run exploratory data analysis to find hidden trends and patterns. Communication: Share findings with company leaders using clear reports and visual dashboards Required Skills: Programming: Proficiency in Python, R, and SQL. Math and Stats: Strong background in statistics, probability, and algebra. Tools: Experience with data frameworks, big data tools, and visualization software like Tableau or Power BI. Education: Bachelor's or master's degree in computer science, Math, Statistics, Engineering, or a related quantitative field. Mandatory Skills Knowledge / Good understanding of PubMed Data Experience as Disease management SME Experience in Scrum Some Alteryx & Snowflake experience Familiarity with: PubMed, its data, MeSH structure Clinical trials data, clinicaltrials.gov Claims: Mx and Rx data, ICD10 codes, taxonomies, CPT, NDC (less important than PubMed) JIRA/Confluence Alteryx Gallery and Designer Tableau desktop, Curator

Job Description Job Description Role : Data Tech Lead with Pharma Domain Rate: $75-78/hr. Client Full Address: LAKEWOOD 44107, OH Remote / WFO / Hybrid: Hybrid Hire Type (FTE/Contract): Both Project Duration: 1 year Indent ID: PSL310833-15 Must have : PubMed , Python , SQL • Oversee the completion of projects from internal kickoff, development, delivery, and continuing support • Coordinating with other teams to ensure the scope of the project is correct/meeting client's expectations Required Skills: Programming: Proficiency in Python, R, and SQL. Math and Stats: Strong background in statistics, probability, and algebra. Tools: Experience with data frameworks, big data tools, and visualization software like Tableau or Power BI. Education: Bachelor's or master's degree in computer science, Math, Statistics, Engineering, or a related quantitative field. Mandatory Skills Knowledge / Good understanding of PubMed Data Experience as Disease management SME Experience in Scrum Some Alteryx & Snowflake experience Familiarity with: PubMed, its data, MeSH structure Clinical trials data, clinicaltrials.gov Claims: Mx and Rx data, ICD10 codes, taxonomies, CPT, NDC (less important than PubMed) JIRA/Confluence Alteryx Gallery and Designer Tableau desktop, Curator Role & Responsibilities: Oversee the completion of projects from internal kickoff, development, delivery, and continuing support Coordinating with other teams to ensure the scope of the project is correct/meeting client's expectations Manage development and other teams Set up and run internal workflows and manage data as it is modified per project. Ensure project data is prepared and uploaded to client inface in a timely manner Maintain project refresh schedule Interface with vendors: order profile information, conference abstracts Troubleshoot data issues on a project-by-project basis Collaborate with Product department on potential updates to the deliverable Looking for below Technical Domain Expertise under Health Care sector. Data Collection: Gather structured and unstructured data from internal and external sources. Data Cleaning: Process, verify, and clean data to ensure accuracy. Model Building: Design and train machine learning models and predictive algorithms. Analysis: Run exploratory data analysis to find hidden trends and patterns. Communication: Share findings with company leaders using clear reports and visual dashboards

Job Description Job Description Role : Gen AI/Agentic AI Lead / AI Architect with GCP Location : Paramus, NJ 07652 (Onsite) Rate : 80 Hire Type (FTE/Contract): Contract Must have GCP and the Google AI stack (Vertex AI, Gemini). 1. Strong GCP ecosystem understanding - should know the data products and when to choose which product. 2. Past must be GCP Data Architect or Engineer 3. Present must be AI Architect - have strong hands-on experience on at least 1 AI project on GCP. We are seeking an experienced AI Architect to lead the design, development, and implementation of enterprise-scale Artificial Intelligence solutions. The ideal candidate will possess deep expertise in Generative AI, Large Language Models (LLMs), Agentic AI, and LLMOps, along with a proven track record of managing and directing AI engineering teams. This role requires strong technical leadership, strategic thinking, and the ability to drive AI innovation aligned with business objectives. Key Responsibilities 1. Define and drive the AI architecture strategy for enterprise-wide AI initiatives. 2. Design scalable and secure Generative AI, Agentic AI, and LLM-based solutions. 3. Lead the implementation of AI platforms, frameworks, and operational processes for LLMOps. 4. Establish best practices for model lifecycle management, monitoring, governance, and performance optimization. 5. Collaborate with business stakeholders to identify high-value AI use cases and develop solution roadmaps. 6. Provide technical leadership and mentorship to AI engineers, data scientists, and architects. 7. Oversee AI solution delivery, ensuring adherence to architecture standards, security, and compliance requirements. 8. Evaluate emerging AI technologies and recommend adoption strategies. 9. Drive innovation in autonomous AI systems, multi-agent frameworks, and enterprise AI transformation programs. Required Skills & Experience 12 years of overall IT experience with significant experience in Artificial Intelligence and Machine Learning. Strong expertise in: AI Architecture Generative AI (GenAI) Large Language Models (LLMs) LLMOps Agentic AI / Multi-Agent Systems AI Solution Design & Governance Experience building enterprise-grade AI applications using leading AI frameworks and platforms. Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies. Strong understanding of AI deployment, monitoring, observability, security, and responsible AI practices. Proven experience leading, managing, and mentoring AI engineering and data science teams. Ability to engage with executive stakeholders and translate business requirements into AI solutions. Preferred Qualifications Experience in Traditional Data Science and Machine Learning. Experience with Google Cloud Platform AI ecosystem. Hands-on experience with BigQuery ML (BQML). Knowledge of MLOps, Data Engineering, and cloud-native AI architectures. Experience implementing AI solutions in large enterprise environments. Leadership Requirements Demonstrated success in directing and managing AI teams. Experience leading cross-functional initiatives involving Data Scientists, AI Engineers, Architects, and Business Stakeholders. Strong communication, stakeholder management, and decision-making skills. Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Relevant AI/Cloud certifications are highly preferred. Nice to Have Experience with Google Vertex AI, Gemini, OpenAI, Anthropic Claude, or similar AI ecosystems. Experience with RAG (Retrieval-Augmented Generation) architectures. Exposure to Data Engineering platforms such as BigQuery, Databricks, Snowflake, or equivalent technologies. Experience implementing Responsible AI and AI Governance frameworks. Ideal Candidate Profile

Job Description Job Description Role Data Engineer / Architect with Manufacturing Domain EXP Location : Remote Rate: $78-82/hr Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future JD: Job Description / Key Requirements 8 12 years of experience in Data Engineering and ETL development. Strong experience in designing and implementing data engineering frameworks, including data ingestion frameworks and rule engines. Hands-on experience with Medallion Architecture, Data model and modern data engineering practices. Strong programming skills in PySpark and SQL. Experience working with cloud-based data platforms, preferably Microsoft Fabric. Prior experience in the Manufacturing domain is required.

Job Description Job Description Job Description: Controls Software Technician Client: Eclips-Prod Location: Rock Hill, SC (Southeast) Duration: September 21, 2026 - December 31, 2026 Employment Type: Contract Work Arrangement: Onsite Bill rate: $48.00 per hour Job Summary We are seeking a Controls Software Technician with hands-on experience in industrial automation, PLC programming, HMI configuration, robotics, and machine vision systems. The ideal candidate will support the programming, integration, testing, and troubleshooting of automated manufacturing equipment. Roles and Responsibilities Program, configure, and troubleshoot Rockwell Automation or Siemens PLC systems. Develop and maintain Human-Machine Interface (HMI) applications and operator screens. Support the programming, integration, and troubleshooting of industrial robots. Configure and maintain machine vision systems for inspection and quality control. Integrate PLCs, HMIs, robots, sensors, and other automation equipment. Perform system testing, debugging, commissioning, and fault diagnosis. Troubleshoot controls software issues and support production operations. Collaborate with engineering and manufacturing teams to improve equipment performance and reliability. Maintain PLC programs, software backups, technical documentation, and system configurations. Follow established safety procedures and automation standards. Required Skills Rockwell Automation (Allen-Bradley) or Siemens PLC programming. HMI development and configuration. Industrial robotics and automation systems. Machine vision systems. PLC/HMI integration, debugging, and troubleshooting. Ability to work onsite in Rock Hill, South Carolina. Preferred Qualifications Experience in automated manufacturing or industrial environments. Knowledge of industrial communication protocols and electrical control systems. Experience with equipment startup, commissioning, and production support.

Job Description Job Description Indent : SF_OP_208618-1 Role : Principal Data Architect Location : Purchase, NY (Hybrid) Rate: $80 to $85/hr Experience : 15 The successful candidate will establish the architectural vision for modernizing data platforms across hybrid cloud and on-premises environments, supporting both high-volume batch processing and low-latency, real-time workloads. This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Client data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions. • Define and evolve Client's global data architecture strategy across hybrid cloud and on-premises environments. • Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements. • Champion Data Mesh principles, enabling data-as-a-product capabilities, federated ownership, governance, and self-service access. • Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. • Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP. • Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. • Enable both real time and batch analytics use cases to support high availability, mission critical workloads. • Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures. • Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking. All About You: • Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. • Deep expertise designing, building, and operating distributed data systems at global scale. • Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms. • Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP. • Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. • Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. • Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. • Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

Job Description Job Description Indent : PSL308118-1-3 Role : Enterprise Architect- Real-Time Data Engineering & Streaming Platforms Location : Whippany, NJ (Hybrid) Salary : $150k - $160k Category Skills Must-haveStreaming platforms, Java, Kafka/Flink/Spark, distributed systems, real-time production opsNice-to-haveDatabricks, cloud-native stack, CI/CD, financial domain experience, stakeholder communication About the role Join us as Vice President, Real-Time Data Engineering & Streaming Platforms, where you will lead the design and evolution of enterprise-grade streaming and real-time data capabilities that underpin critical business, regulatory, and client outcomes. This is a hands-on engineering leadership role for someone who can write production-quality software, shape technical direction, lead teams, and run low-latency, resilient, and secure streaming platforms at scale in production. This role is suited to a senior engineering leader with deep expertise in streaming architectures and large-scale data platforms, combined with the ability to lead engineers while remaining close to the code, architecture, delivery, and production operating model. You will be expected to make strong technical decisions, contribute directly to solution design and implementation when needed, coach engineers through complex problems, and maintain high standards across software quality, platform resilience, scalability, observability, and operational execution. What you'll do Lead the architecture, design, development, and operational stewardship of real-time streaming and data platform capabilities, remaining hands-on in key technical decisions and implementation where appropriate. Write, review, and guide high-quality production code for critical platform components, setting the bar for engineering standards, maintainability, resilience, and performance. Lead and develop engineering teams, providing technical direction, coaching, and delivery leadership while creating a culture of accountability, ownership, and continuous improvement. Own the design and production operation of resilient, low-latency streaming solutions that process critical financial events with strong guarantees for correctness, recoverability, observability, scalability, and control. Run streaming platforms at scale, including responsibility for production health, capacity, reliability, incident response, recovery, and continuous service improvement. Partner with business, product, architecture, and control stakeholders to shape roadmaps, solve complex engineering problems, and align platform delivery with business and regulatory requirements. Drive platform modernization across streaming, event processing, and data movement, balancing hands-on technical contribution with leadership across delivery priorities and dependencies. Establish strong engineering disciplines across testing, code review, release management, observability, incident response, capacity planning, and production readiness for real-time workloads. To be successful you should have experience with: Deep experience designing, building, and operating real-time data platforms, streaming architectures, and distributed systems in complex enterprise environments. At least 5 years of hands-on experience running real-time streaming solutions in production at scale, with accountability for reliability, performance, observability, recovery, and operational stability. Strong software engineering capability, with fluency in Java programming and a track record of writing production-grade code and leading technical implementation for business-critical systems. Strong technical credibility in streaming and event-driven systems, including topics such as partitioning, ordering, stateful processing, delivery semantics, replay, fault tolerance, and platform resilience. Proven experience leading engineering teams, mentoring developers, and driving delivery while maintaining high standards across design, coding, testing, and operational support. Experience working with modern streaming and data technologies such as Kafka, Pulsar, Kinesis, Flink, Spark Structured Streaming, or equivalent platforms, with the judgment to select the right patterns for the problem. Strong understanding of control, governance, and risk management expectations for production data platforms, particularly where resilience, auditability, and data correctness are business-critical. Ability to work across senior stakeholders while staying close to delivery and operational details, helping teams solve difficult technical problems and execute effectively. Some other highly valued skills may include: Experience leading engineering organizations using modern data platforms such as Databricks or equivalent ecosystems for large-scale data and analytics workloads. Working knowledge of cloud-native platform capabilities across compute, storage, orchestration, observability, and security in support of resilient data services. Strong understanding of software engineering lifecycle practices, including CI/CD, platform automation, release controls, and operational governance for critical services. Experience operating in financial services, payments, trading, or similarly regulated environments where non-functional requirements, controls, and recoverability are essential. Ability to communicate complex technical strategy clearly to senior business and technology audiences, building confidence, alignment, and support for change.

Job Description Job Description Job Role - Adobe Experience Manager Location - New Haven, CT (2-3 Days Onsite per month) Client Assa Abloy (Kindly do not post it or let the candidate know in initial stage the client name) Bill Rate - $100-/hr Expr. range - 10-15 yrs. Interview Process - 1-2 internal and 2 client rounds Must have skills : Adobe Experience Manager, Elastic Search Good to have skills: Magento ,APIM/AWS will be plus Job Description : Act as a senior individual contributor delivering high-quality, scalable, and maintainable code. Design and implement enterprise-grade solutions using Adobe Experience Manager (AEM). Design, implement, and optimize search and indexing solutions using Elastic / Elastic Cloud. Create and review low-level and high-level architecture designs. Work closely with customers and stakeholders to gather requirements, clarify expectations, and provide technical guidance. Participate in technical discussions, design reviews, and solution walkthroughs with clients. Integrate AEM with third-party systems, APIs, and enterprise platforms. Ensure application performance, scalability, security, and best practices. Mentor junior developers and contribute to code reviews and technical standards. Troubleshoot production issues and provide long-term solutions and optimizations.

Job Description Job Description These positions are open to both contract and full-time candidates. The preferred work arrangement is a hybrid schedule (3 days onsite) in Dallas, TX, or candidates who are willing to relocate. However, if you identify a strong non-local candidate, we are open to considering a remote arrangement, provided they can travel to Dallas periodically as needed. Senior Data Architect $190K-$220K / $114-$132/hr.