Artech LLC

Job Description Job Description Location: Charlotte, NC Salary Range: Competitive Introduction The Platform Support (L2) Engineer is responsible for the operational support, platform administration, observability, and automation of the Orchestra GenAI Gateway infrastructure and supporting platform components. This role focuses on maintaining platform health, monitoring pipelines, infrastructure services, deployment processes, and environment stability across multiple regions. The engineer works closely with DevOps, SRE, Infrastructure, Security, and Development teams to manage platform services, automate operational processes, implement monitoring solutions, and maintain high availability for GenAI workloads. Required Skills & Qualifications 5 years of experience in Platform Support, DevOps, Infrastructure Engineering, or SRE roles. Strong Linux administration experience. Hands-on experience with Python, Bash, or Shell scripting. Experience with infrastructure automation tools such as Terraform and Ansible. Experience with Jenkins, Bitbucket, Artifactory, and CI/CD pipelines. Strong experience implementing and supporting monitoring solutions including Splunk, Dynatrace, OpenTelemetry, Grafana, and enterprise logging platforms. Experience supporting cloud and container platforms including OpenShift and Kubernetes. Knowledge of networking, load balancing, SSL/TLS certificates, DNS, and API integrations. Experience troubleshooting infrastructure, application, and performance-related issues. Understanding of observability, logging, tracing, alerting, and capacity management. Strong analytical, problem-solving, and communication skills. Prior work experience at client or in client's Industry. Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications Experience supporting enterprise GenAI or AI/ML platforms. Familiarity with OpenAI, Azure AI, LLM operations, vector databases, and AI observability. Experience implementing self-healing and auto-remediation workflows. Exposure to ServiceNow, Remedy, and enterprise workflow management tools. Experience with cloud platforms such as Azure. Understanding of security, compliance, vulnerability management, and enterprise risk controls. Financial services industry experience. Day-to-Day Responsibilities Maintain platform health and monitor pipelines, infrastructure services, and deployment processes. Manage platform services and automate operational processes. Implement monitoring solutions and maintain high availability for GenAI workloads. Identify possible production failure scenarios and create incident tickets. Communicate effectively with development and internal business operations teams. Identify vulnerabilities and opportunities for improvement. Create and enhance administrative, operational, and technical policies and procedures. Take ownership of escalations and perform troubleshooting, analysis, research, and resolution. Consult with end users to determine optimal configuration of equipment and applications. For immediate consideration please click APPLY to begin the screening process.

Job Description Job Description Job Title: Databricks QA / Data Testing Consultant Location: Frederick MD Duration: 6 months (Extendable) Pay Range: $60-65/Hour on W2/C2C (All Inclusive) Request ID: 114927 -1 Position Summary: Key Skills & Experience:Strong experience in Functional Integration Regression and UAT testingStrong SQL and data validation/testing skillsExperience testing data pipelines ETL processes ADF Databricks or Azure data platformsExperience with AI-assisted test automation test data generation or Azure AI servicesExposure to test automation frameworks and toolsExperience with defect tracking and test management toolsAgile delivery experienceStrong stakeholder communication and coordination skillsPreferred: experience Insurance US GAAP IFRS Finance Transformation or Regulatory Reporting background Essential Skills: Key Skills & Experience:Strong experience in Functional Integration Regression and UAT testingStrong SQL and data validation/testing skillsExperience testing data pipelines ETL processes ADF Databricks or Azure data platformsExperience with AI-assisted test automation test data generation or Azure AI servicesExposure to test automation frameworks and toolsExperience with defect tracking and test management toolsAgile delivery experienceStrong stakeholder communication and coordination skillsPreferred:Banner Life / MYNA experienceInsurance US GAAP IFRS Finance Transformation or Regulatory Reporting background Skills: Digital : Databricks Experience Required: 8-10 Responsibilities " Design, develop, and maintain scalable, high-performance data engineering solutions on Azure Databricks. " Build and support batch and real-time data pipelines using Apache Spark and Structured Streaming. " Design and implement Lakehouse and Medallion Architecture (Bronze, Silver, Gold) using Delta Lake. " Develop reusable ETL/ELT frameworks, standardized data processing components, and enterprise data ingestion patterns. " Ingest and process large-scale data from diverse enterprise sources, including databases, APIs, message queues, and file-based systems. " Develop complex data transformation logic using PySpark, Python, and SQL. " Create trusted, governed, and consumption-ready datasets for reporting, analytics, and downstream applications. " Implement data quality, validation, reconciliation, audit, and governance controls across data pipelines. " Manage and optimize Databricks Workflows, Delta Live Tables (DLT), Unity Catalog, and Databricks SQL. " Collaborate with business, analytics, architecture, and delivery teams in an Agile environment to deliver high-quality data products. Required Technical Skills: Databricks & Data Engineering " Strong hands-on experience with Databricks, Lakehouse Architecture, and Delta Lake " Expertise in PySpark, Python, and advanced SQL " Experience with Apache Spark, Structured Streaming, Delta Live Tables (DLT), Databricks Workflows, and Unity Catalog " Experience designing and implementing Medallion Architecture and modern Data Lake/Data Warehouse solutions " Strong background in data ingestion, ETL/ELT, data transformation, optimization, and deployment practices " Experience with event-driven and streaming technologies such as Kafka or Azure Event Hub Cloud Platforms " Client Azure (preferred) " AWS or GCP experience is also valuable Application Integration " Working knowledge of React and/or Angular for front-end integration and data-centric application development Domain Experience (Preferred) " Experience in Finance, Insurance, Regulatory Reporting, or US GAAP reporting " Understanding of financial data models, reporting processes, and governance requirements is highly desirable

Job Description Job Description Job title: Sr. Data Analyst Duration: 12 months with possible extension Location: Mclean, VA - Hybrid Rate: $65-$68/hr on w2 - without benefits Introduction Join a dynamic team in McLean, VA, where you will play a crucial role in designing and managing the data architecture for cutting-edge projects. This is an exciting opportunity for a seasoned professional to make a significant impact in a fast-paced environment. Required Skills & Qualifications 5 years of experience in data architecture Proficiency in Python Expertise in SQL, particularly with Snowflake Experience with AWS, specifically S3 Familiarity with Databricks Strong skills in Tableau Must have previous client experience working for this customer in the past 5 years Preferred Skills & Qualifications Some project management skills (set up meetings, create agenda, take notes, follow up, report status) Excellent communication skills, with the ability to communicate up to Sr Director level frequently Strong references from prior projects Day-to-Day Responsibilities Design and implement data architecture solutions Collaborate with cross-functional teams to ensure data integrity and quality Provide technical guidance and support to the team Company Benefits & Culture Comprehensive health and wellness benefits Opportunities for professional development and growth A collaborative and inclusive work environment For immediate consideration please click APPLY to begin the screening process with Alex.

Job Description Job Description Request ID: 114763-1 Title: Data Architect Locations: San Antonio,TX Duration: 06 Months Pay Range: $45-$50/Hour on W2/C2C (All inclusive) Local to San Antonio only! Role Descriptions: "Define and govern the target data architecture for P&C domains including data models integration patterns and platform usage (Snowflake dbt Control-M).Set standards for data product design lineage quality and deployment that development teams must follow.Evaluate and introduce AI capabilities (Amazon Bedrock and related tools) into the architecture for code generation metadata enrichment anomaly detection and operational assistance.Partner with business and engineering leads to translate domain needs into reusable architecture patterns and roadmaps.Ensure solutions support regulatory reporting and operational SLAs; review major designs for fit and risk.Drive adoption of GitLab CI/CD practices automated testing and platform best practices across P&C data teams.Maintain the architecture decision record and technical roadmap for P&C data platforms.Deep knowledge of Snowflake dbt modern orchestration (Control-M or equivalent) and BI platforms (Sigma or similar).Hands-on or strong working knowledge of Amazon Bedrock and LLM application patterns in data platforms.Proven ability to set standards influence engineering teams and communicate architecture trade-offs to technical and business audiences.Experience designing for scale data quality and regulatory compliance in insurance." Essential Skills: Snowflake DBT Control M VS Code Copilot Gitlab CI/CD Python SQLAgile Method Informatica Skills: Digital : Snowflake Experience Required: 8-10

Job Description Job Description Job ID: 111868-1 Job Title: Salesforce QA Lead Location: Onsite: McLean, VA- 100% onsite FROM DAY 1 Duration: 6 months (Extendable) Pay Rate: $50-$54/hr on W2 Skills: Salesforce Administration and Functional Design, Generative AI - Quality Engineering, General Banking, Modern Functional Quality Engineering Experience Required: 10 & Above Role Descriptions: The candidate must understand how representatives access member information fulfill service requests resolve cases and support lending and deposit activities. This role requires independent test ownership strong integration testing skills and the ability to identify risks beyond documented requirements. Own test planning scenario design execution defect management regression testing and release readiness for Salesforce member servicing applications. Validate representative workflows including member search identity verification Member 360 views account inquiries profile maintenance service requests escalations and interaction history. Test banking journeys involving deposits loans cards payments and transfers including exceptions reversals and downstream updates where applicable. Validate Salesforce Service Console functionality including case creation routing queues assignment rules entitlements SLAs knowledge articles and guided workflows. Test Salesforce configurations and customizations including LWC Flow validation rules approval processes and business logic implemented in Apex. Perform end-to-end testing across Salesforce MuleSoft APIs core banking platforms document management systems and other connected applications. Verify data mapping accuracy reconciliation and synchronization; investigate missing delayed duplicate or inconsistent transactions and records. Validate profiles permission sets sharing rules field-level security sensitive member data access and audit history. Design negative and boundary scenarios covering API failures timeouts retries duplicate submissions concurrent updates and interrupted servicing sessions. Build and maintain automated regression tests support UAT with servicing teams and provide clear test evidence and release recommendations. Essential Skills: Required experience and skills6+ years of software QA experience including 3+ years testing Salesforce and substantial banking or credit union application experience. Direct experience testing applications used by member service representatives banking customer service representatives contact center agents or branch employees.Strong knowledge of Salesforce Service Cloud; Financial Services Cloud experience is highly desirable. Practical understanding of deposit servicing consumer lending member/account relationships and service request lifecycles. Hands-on API testing using Postman or an equivalent tool including authentication request/response validation error handling and HTTP status codes. Ability to use SOQL and SQL to validate Salesforce records and downstream data. Experience with test automation using Selenium Playwright Provar or an equivalent framework including maintainable Salesforce UI tests. Strong defect investigation skills using logs browser developer tools API responses and correlation identifiers. Experience with Jira Xray or equivalent test management tools Agile delivery and CI/CD regression execution. Ability to explain business impact challenge incomplete requirements and communicate release risks clearly. Preferred experience: Salesforce Financial Services Cloud OmniStudio Experience Cloud and telephony/CTI integrations. MuleSoft integrations and core banking platforms such as Hogan. Accessibility performance and session management testing for high-volume servicing environments. Agentforce testing including grounded responses permitted actions human handoffs and protection of member information Company Benefits & Culture • Inclusive and diverse work environment • Opportunities for professional growth and development • Comprehensive health and wellness benefits

Job Description Job Description Title Workday Consultant (Compensation and Benefits ) Duration 4-6 months Location Remote MST/PST Job Description Must have - Compensation and Benefits Module expertise ( good in-depth experience) Nice to have - Workday Payroll module experience Job responsibilities - Guide the team through requirements mapping, architecture and design and help with implementation roll out Brief scope of project - The client is embarking on rolling out the above-mentioned modules across US - they need help with getting the architecture and design out of the way

Job Description Job Description Job ID: 114700-1 Job Title: Systems Engineer (Kubernetes & Application Deployment) Work Location: Irving, TX- ONSITE Work Model: Onsite Duration: 6 Months with possible extension Pay rate: $50-$55/hr on W2/C2C (All inclusive) About the Role We are seeking a highly skilled Systems Engineer to lead the architecture, design, and execution of our application deployment strategies. In this role, you will be the cornerstone of our containerized infrastructure, primarily focusing on Kubernetes. You will partner closely with software engineering, DevOps, and security teams to design robust deployment pipelines, ensure maximum high availability, and build scalable infrastructure that supports our core products. The ideal candidate does not just maintain systems; they actively design deployment topologies, champion GitOps methodologies, and solve complex distributed system challenges. Key Responsibilities Application Deployment Architecture Design Deployment Strategies: Architect and implement scalable, secure, and highly available deployment topologies for microservices and monolithic applications. Pipeline Engineering: Build and maintain advanced CI/CD pipelines incorporating blue-green, canary, and rolling deployment strategies. GitOps Implementation: Drive GitOps practices using tools like ArgoCD or Flux to ensure infrastructure and deployment states are version-controlled and automated. Containerization Optimization: Guide development teams on Dockerfile best practices, multi-stage builds, and container image security/slimming. Kubernetes Ecosystem Management Cluster Lifecycle: Provision, upgrade, and manage production-grade Kubernetes clusters (e.g., EKS, GKE, AKS, or bare metal). K8s Configuration: Develop and maintain Helm charts, Kustomize manifests, and custom resource definitions (CRDs) for complex application requirements. Traffic & Networking: Architect ingress controllers, service meshes (e.g., Istio, Linkerd), and network policies to ensure secure and efficient internal and external traffic routing. Storage & Stateful Loads: Design and manage persistent volumes and stateful sets for applications requiring durable storage. Infrastructure & Reliability Infrastructure as Code (IaC): Automate the provisioning of underlying cloud resources using Terraform, Pulumi, or Ansible. Observability: Implement comprehensive monitoring, logging, and tracing solutions (e.g., Prometheus, Grafana, ELK stack, Datadog, OpenTelemetry) to track deployment health and application performance. Incident Response: Serve as an escalation point for complex deployment failures or cluster degradation, participating in on-call rotations and blameless post-mortems. Required Qualifications Experience: 4+ years of experience in Systems Engineering, DevOps, or Platform Engineering, with at least 2 years in a heavily containerized environment. Kubernetes Mastery: Deep, hands-on experience managing production Kubernetes environments, including cluster scaling, RBAC, network plugins (CNI), and storage (CSI). Deployment Tooling: Proven track record of designing complex deployments using Helm and GitOps controllers (ArgoCD/Flux). Cloud Proficiency: Strong experience with at least one major cloud provider (AWS, GCP, or Azure) and their managed Kubernetes offerings. Scripting & Automation: Proficiency in at least one programming or scripting language (Python, Go, or Bash) for automation and tooling. OS & Networking: Strong grasp of Linux system administration, TCP/IP networking, DNS, and load balancing principles. Preferred Qualifications Certifications: Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS). Service Mesh: Practical experience implementing and managing service meshes for MTLS and advanced traffic shaping. Security: Experience with container vulnerability scanning, OPA Gatekeeper, or Kyverno for policy enforcement. Bachelors in Computer science or IT or any Engineering Company Benefits & Culture • Inclusive and diverse work environment • Opportunities for professional growth and development • Comprehensive health and wellness benefits

Job Description Job Description Introduction The role involves preparing the Strategic Process Inventory (SPI) data estate for use by the GenAI platform. The responsibilities include defining the data onboarding approach, identifying required source structures, designing performant access patterns, and ensuring metadata is complete, accurate, and usable by downstream semantic and AI context layers. Required Skills & Qualifications 8 years of experience in enterprise data architecture, database architecture, or data platform architecture. Strong experience with Oracle relational databases and enterprise data models. Experience designing performant data access patterns for analytics, reporting, or AI-enabled query systems. Experience with metadata onboarding, data catalogs, business glossaries, and semantic modeling. Advanced SQL, especially Oracle SQL. Strong understanding of PL/SQL concepts. Working knowledge of Python for metadata extraction, profiling, or automation is preferred. Familiarity with YAML / JSON metadata formats is useful. Prior work experience at client or in client's Industry. Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications Experience with enterprise process management systems (POP, ARIS). Exposure to GenAI platforms and LLM-based enterprise solutions. Knowledge of regulatory and compliance-driven data environments. Experience with Airflow, dbt, Spark, or enterprise data pipeline tooling. Day-to-Day Responsibilities Identify and document the required SPI Oracle database schemas, tables, views, columns, keys, relationships, and constraints needed for GenAI. Define the onboarding scope for structured data, including source systems, subject areas, entities, and key data products. Extract, validate, and organize technical metadata from Oracle using tools such as Toad, SQL scripts, catalog exports, or database dictionary queries. Establish metadata standards for table descriptions, column definitions, data types, keys, data classifications, and business relevance. Work with business and data SMEs to validate whether the onboarded data accurately represents the enterprise process management business domain. Analyze SPI data structures to determine where direct source access may be inefficient for natural-language query workloads. Design optimized database views or materialized views to improve performance for GenAI query execution. Define aggregation, denormalization, join, and filtering strategies for commonly used SPI data access paths. Ensure materialized views preserve semantic correctness and do not introduce ambiguity into business reporting. Define refresh frequency, dependency management, and operational ownership for materialized views. Provide canonical source-to-target mapping between Oracle data structures and business concepts. Support the Knowledge / Data Engineer in mapping business terminology to physical Oracle tables and columns. Identify authoritative source fields for core SPI business terms, metrics, dimensions, and identifiers. Define reusable data access patterns that can be reflected in the semantic layer and AI context artifacts. Validate data quality, completeness, referential consistency, and metadata accuracy. Identify sensitive, restricted, or regulated data elements that require access controls or masking. Document known data limitations, latency, interpretation caveats, and usage constraints. Ensure data onboarding artifacts are versioned and traceable. For immediate consideration please click APPLY to begin the screening process with Alex.

Job Description Job Description Job ID: 111726-1 Job Title: Oracle HCM Consultant Location: Remote, Dallas TX Duration: 6 months Pay Range: $60.00 - $66.00/Hour on W2/C2C Job Description: Experience Required: 10+ Years Essential Experience: Minimum 8 years of Oracle Payroll experience Required Skills: Oracle HCM, Oracle Payroll, Oracle PeopleSoft Payroll Job Summary We are looking for an experienced Oracle HCM Payroll Consultant with strong expertise in Oracle Payroll and hands-on experience in payroll processing, payroll integrations, and withholding information management. Experience working with Fidelity payroll feedback files is highly preferred. Key Responsibilities Work on Oracle HCM with a focus on the Oracle Payroll module. Manage and support Oracle Payroll processes, configurations, and integrations. Work with Fidelity payroll feedback files and ensure accurate processing of payroll-related information. Incorporate and manage employee withholding information within the Oracle Payroll system. Analyze payroll feedback files, identify discrepancies, and resolve payroll-related issues. Collaborate with HR, payroll, and technical teams to ensure accurate and timely payroll processing. Support payroll testing, troubleshooting, and issue resolution. Required Skills and Qualifications Minimum of 8 years of hands-on Oracle Payroll experience , with 10+ years of overall relevant experience preferred. Strong experience with Oracle HCM Payroll . Experience working with Fidelity payroll feedback files is highly preferred. Strong understanding of payroll processing and the integration of withholding information into Oracle Payroll. Experience with Oracle PeopleSoft Payroll is an added advantage. Excellent analytical, troubleshooting, and problem-solving skills. Candidate Preference Candidates with direct Fidelity payroll feedback file experience will be preferred. If Fidelity experience is unavailable, candidates with strong Oracle Payroll expertise and a solid understanding of incorporating employee withholding information into the Oracle Payroll system will also be considered. Company Benefits & Culture • Inclusive and diverse work environment • Opportunities for professional growth and development • Comprehensive health and wellness benefits

Job Description Job Description Job Title : Performance Test Engineer Location: Austin, TX , (Hybrid Duration: 6 Months Salary Range: $56.00 - $58.00/Hour on W2 (Without Benefits). Applicants must be willing to work on W2 Job Description: Experience Required: Overall Experience Required is 8 -10 Years. Must Have 7+ years of Experience in Automation Testing. Role Description Minimum 7+ years of experience in creating automation test cases using Core Java, RestAssured (REST APIs), and Selenium. Ensure maximum automation coverage for functional testing of both UI and backend APIs. Create automation jobs for test coverage and monitor failures and bugs. Create automation test plans and test scripts using TestNG and Maven. Hands-on experience with Git, IDEs, gRPC, Postman, RestAssured (REST APIs), TestNG/Maven, test management/defect management tools, SQL, and NoSQL (Cassandra) databases. Strong knowledge of SQL databases. Hands-on experience with Splunk queries. Report QA status to stakeholders on a daily basis to project the quality of the product. Maintain knowledge of functional features for maintaining better project documentation.

Job Description Job Description Hybrid role - would need to be onsite twice a week in Arlington, TX. Job Description We are seeking an experienced, hands-on Senior Data Architect with deep Databricks expertise, enterprise system design experience, and proven data architecture migration capabilities . The ideal candidate must demonstrate strong technical depth, excellent communication skills, and the maturity to independently engage with business stakeholders, technical teams, and enterprise architects. This role will support the analysis, mapping, design, and migration of existing data products from an Oracle Exadata environment to a new source system (Helix) and downstream analytics platform. The client has emphasized that candidates must possess both hands-on technical expertise in data architecture migration and the communication maturity necessary to lead complex enterprise discussions. Key Responsibilities Lead enterprise data architecture analysis, design, and migration activities. Analyze existing Exadata data products, database structures, tables, columns, and dependencies. Collaborate directly with business users to identify current data usage, reporting requirements, and technical specifications. Work with Helix source system teams to map existing business-required data elements to the new source environment. Develop comprehensive Source-to-Target Mapping (STTM) documentation. Guide junior team members in preparing technical mapping documentation. Provide hands-on technical leadership throughout data architecture migration activities. Guide data engineers and developers in designing and implementing new target tables within the analytics platform. Apply Databricks expertise to enterprise data architecture and migration solutions. Lead technical discussions between business users, source system teams, developers, and data engineers. Identify architecture gaps, data dependencies, migration risks, and technical challenges. Translate business requirements into scalable, enterprise-level technical solutions. Clearly communicate complex architecture and migration concepts to technical and nontechnical stakeholders. Must-Have Qualifications 6-8+ years of relevant data architecture, data engineering, or enterprise data warehousing experience, with demonstrated architecture ownership. Deep, hands-on Databricks expertise. Proven experience with enterprise data architecture and migration projects. Strong hands-on SQL proficiency. Extensive data warehousing, data modeling, and source-to-target mapping experience. Demonstrated ability to design complex enterprise data systems. Hands-on experience analyzing source systems and mapping data to target environments. Strong understanding of data integration, transformation, and migration processes. Proven experience guiding technical teams and making architecture/design decisions. Excellent communication skills, professional maturity, and stakeholder management capabilities. Ability to independently facilitate technical discussions with business users, developers, and architecture teams. Preferred Qualifications Oracle Exadata experience. Experience with legacy data warehouse modernization projects. Experience with Databricks-based analytics environments. Familiarity with Helix source systems. Prior experience leading or mentoring junior technical resources.

Job Description Job Description Job ID: 112149-1 Job Title: GCP Architect Location: Irving TX- 100% ONSITE Duration: 6 months Pay Rate: $55-$60/hr on W2/C2C Role Descriptions: Google Big Query Google Spanner GCP Tech Lead Essential Skills: Google Big Query Google Spanner GCP Tech Lead MUST HAVE SKILLS: Google Cloud Digital : Google Data Engineering Experience Required: 10+ Years and Above

Job Description Job Description Job Title : Senior GCP Architect - Data & AI/GenAI Platform Engineering Location: Irving, TX - Onsite Duration: 6 Months Salary Range: $55.00 - $57.00/Hour on W2 (Without Benefits). Applicants must be willing to work on W2. Role Description: At least 15 years of total IT experience with over 5 years as Architect. Must have 7+ years of experience in Google Cloud (GCP). Must have 7+ years of experience in Python. Must have 7+ years of experience in Terraform. Must have 7+ years of experience in GCP Program Leadership. Ability to lead the design, delivery, and governance of new enterprise data and analytics platforms, leveraging services including BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer (Airflow), Dataform, and Looker. Strong experience and understanding of building using serverless, microservices, and containerization on GCP/AWS/Azure. Deep understanding of LLMs, Gemini Enterprise, and designing workflows for Vertex AI and RAG, tool calling, vector databases, and multi-step agentic systems. Experience with CI/CD for models and prompts, model registries, drift detection, and production monitoring. Development expertise in Python, Java, Node.js, Git, Linux/CLI utilities, and standard AI frameworks such as PyTorch or TensorFlow. Should have knowledge and experience in token management and AI guardrails. Translate executive goals into technical roadmaps. Lead engineering teams, manage stakeholder expectations, and outline non-functional requirements.

Job Description Job Description Job Title: SAP Finance/RTR Consultant Location: Irving TX (Hybrid) Contractual Project Must have skills: 1. S/4 HANA, Record-to-Report processes and Finance operations •Work location: Irving, TX •Will this role work remote/In Office/Hybrid (in office & remote): Hybrid - 3 days/week •Does the resource have to be Local: Yes •Years of experience required for each skill? 8+Years •What are the chances for extension? 50% Responsibilities: •Partner with Finance stakeholders to understand business needs, operational pain points, and reporting requirements •Lead end-to-end delivery for R2R enhancements and stabilization efforts, including: •Requirements gathering •Functional design •Technical coordination •Testing support (SIT/UAT) •Deployment and hypercare •Support stabilization and optimization across: •Financial close processes •Allocations and journal entries •Financial and management reporting •Intercompany processing •AR aging and reconciliations •SAC / Datasphere reporting integrations • Upstream/downstream Finance integrations •Coordinate across AMS, project, reporting, and integration teams to drive delivery •Assist with backlog prioritization, sizing, defect resolution, and roadmap planning •Identify opportunities to reduce manual work, improve reporting timeliness, and stabilize Finance operations Thanks Sahil Sharma E:

Job Description Job Description Replaced - IDE-JB-00264 Job Overview The Data Security Architect is responsible for defining the enterprise architecture, control patterns, and design standards for protecting sensitive data across s platforms, including Snowflake, Databricks, M365, Box, and cloud applications (AWS-first). This role ensures that data security capabilities such as DSPM, DLP, and data platform controls are designed correctly, integrated across systems, and scalable, enabling consistent protection of sensitive data across the enterprise. This is a design and architecture leadership role, focused on the how of data protection, not day-to-day program execution or tool operations. Job Responsibilities In this role, you will be responsible for Data Security Architecture & Design Define the enterprise data security architecture, including: o Data discovery and classification (DSPM integration) o DLP/CASB control strategy (M365, Box, endpoint) o Data platform security controls (Snowflake, Databricks) o Application/API data protection patterns (cloud-first) Establish standard control patterns, including: o Data classification and tagging models o Encryption, tokenization, and masking strategies o Data access control models (RBAC, ABAC, RLS) o Data movement and sharing controls Ensure consistency and scalability of data protection across SaaS, cloud, and application environments Platform Integration & Control Alignment Design and drive integration across: Snowflake and Alation (data catalog and ownership mapping) Entra ID (identity-driven access controls and policy enforcement) M365 and Box (data loss prevention and collaboration controls) Cloud environments (AWS, Azure, GCP) Ensure alignment between: DSPM findings DLP policies Data platform controls Translate data risk insights into technical control implementation requirements Reference Architecture & Engineering Enablement Develop and maintain a Data Security Reference Architecture Define secure design patterns and implementation guidance for: Data engineering teams Application development teams Cloud platform teams Enable engineering teams to embed data protection into systems and workflows, rather than relying solely on downstream tooling Collaboration with Program & Engineering Teams Partner with: Data Security Program Lead (execution and governance) Data Security Engineering Lead (implementation delivery) Cyber Defense / SOC teams (operational integration) Provide architectural direction and design input while ensuring: Execution teams can implement effectively Controls remain aligned to risk priorities Standards, Governance & Continuous Improvement Define and evolve data protection standards aligned to: Data Management Policy (classification, handling, retention) Regulatory requirements (HIPAA, GDPR, etc.) Evaluate emerging capabilities and tools: DSPM platforms DLP/CASB solutions Data platform-native controls Continuously improve architecture based on: New data risks Platform evolution (Snowflake, AWS, etc.) Feedback from operations and engineering Required Experience & Qualifications General Qualifications 8 12 years experience in: Data security, cloud security, or security architecture Strong experience designing security for: Cloud-native data platforms (Snowflake, Databricks) SaaS and collaboration environments (M365, Box) Enterprise identity systems (Entra ID) Proven ability (via outcomes) to design and scale: Data classification and tagging models Data protection controls (DLP, masking, encryption) Access control models (RBAC, ABAC) Experience working across: Data engineering Application engineering Cloud platform teams Technical Expertise Deep understanding of: Data protection architecture and lifecycle management Data platforms (Snowflake strongly preferred) Cloud environments (AWS preferred; Azure/GCP familiarity) Working familiarity with: DSPM tools (e.g., Cyera, BigID, etc.) CASB/DLP platforms (M365, endpoint, etc.) Data catalog and governance tools (e.g., Alation) Knowledge of: Encryption, tokenization, and data masking techniques Data access governance models and patterns Understanding of regulatory frameworks relevant to (GDPR, SOC2, PCI DSS) Leadership & Professional Skills Strong architectural thinking and system design capability Predilection towards action to achieve outcomes and refine design Ability to translate business data risk into technical architecture Excellent collaboration skills across engineering and security domains Ability to communicate via architectural diagrams, whitepapers, presentations Strong communication skills to: Influence technical and non-technical stakeholders Align teams on architecture and standards Preferred Qualifications Experience implementing enterprise data security or DSPM programs Background working with data engineering or analytics teams Experience designing controls in Snowflake or similar platforms Certifications (AWS Certified Solutions Architect, CISSP, CCSP, etc.)

Job Description Job Description Introduction The role is responsible for the design, implementation, optimization, and operational reliability of enterprise CDN platforms supporting large-scale, customer-facing digital applications. This position drives the delivery of secure and highly available content by managing CDN configurations, caching strategies, traffic routing, and edge security controls across distributed environments. Required Skills & Qualifications (Must-have qualifications that candidates must meet to be considered) 5 years of experience managing enterprise CDN platforms (Akamai, Cloudflare, Fastly, or Google Cloud CDN). Deep understanding of DNS, GTM, CNAME chaining, HTTP/2 & HTTP/3, TLS/SSL, Caching Headers, and Edge Computing. Experience with Multi-CDN Strategy & Implementation. Proficiency in Infrastructure as Code (IaC) using Terraform and Ansible. Prior work experience at client or in client's Industry. Applicants must be able to work directly for Artech on W2 Preferred Skills & Qualifications (Nice-to-have skills but are not required) Hands-on experience with Google Cloud Platform (GCP), specifically GCP Cloud Run, GCP Transcoder API, GCP OpenShift/GKE clusters. Experience configuring CDN layers in front of Adobe Experience Manager (AEM / AEMaaCS). Familiarity with CI/CD Pipelines & API Security using Tekton and GitHub Actions. Day-to-Day Responsibilities (key tasks and expectations for the role) Serve as the technical owner and subject matter expert for CDN technologies. Lead technical transformation of global content delivery strategy. Maintain high system reliability through proactive monitoring and incident prevention. For immediate consideration please click APPLY to begin the screening process with Alex.

Job Description Job Description Title: PCB Signal and Power Integrity Hardware Engineer Location: North Reading, MA (100% Onsite) Duration: 12 Months (Contract) Pay Range: $60.00 - $90.00 per hour Job Description Client, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Responsibilities PCB Signal and Power Integrity Hardware Engineer Develop custom code and scripts to speed the process of set-up using Cadence tools or developing software utilities that improve effectiveness or efficiency of our processes. Support PCB Layout efforts by assisting in Floor planning and Stack-up trade-offs as well as defining routing constraints. Partner with HW circuit design teams to solve challenging High-Speed signal integrity and power integrity problems to meet tight specifications. Sustain/Ensure no design escapes or problems during bring-up and Design Verification by organizing and executing high priority simulations. Must Have We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position. BS or MSEE in Electrical Engineering or Electrical and Computer Engineering Minimum 8 yrs experience (internships included) Primary experience needed in Cadence, Ansys, Mentor Graphics or Keysight signal extraction tools (e.g. Allegro, Sigrity , HyperLynx, EM Pro, SI Pro, ect.) Primary skills required in Transmission-Line Theory, Frequency and Time Domain evaluation, and EM Fields. Above average skills needed in organization, planning, collaboration and communication Must be proficient in Client PowerPoint, Excel, Word. Experience with MATLAB, Python, tcl, or similar tools/languages is a plus. Some experience/skills in taking lab measurements is preferred but not necessary. Leading a team, and/or primary responsibility for a project is a plus.

Job Description Job Description Job Title: ASIC/FPGA Methodology Engineer Location: North Reading, MA Duration: 12 Months Contract (Contract to Permanent) Pay range: $75.00 to $120.00 per hour on W2 Job Description: The ASIC/FPGA Methodology Engineer will play a critical role in defining, developing, and maintaining methodologies and workflows for FPGA and ASIC design and verification. The ideal candidate will have a strong foundation in FPGA and embedded design, coupled with expertise in modern development tools in a Linux-based environment. This role requires a proactive individual who thrives in a collaborative environment and is passionate about driving innovation in hardware design. Responsibilities: Develop and maintain methodologies for ASIC/FPGA design, verification, and implementation. Collaborate with design and verification teams to ensure seamless integration of workflows and tools. Support the development of RTL designs using Verilog and assist in debugging complex hardware issues. Optimize design flows for FPGA tools such as Vivado, Quartus, or similar platforms. Implement and manage CI/CD pipelines using tools like Jenkins, Docker, and Git to streamline development processes. Utilize Linux utilities (e.g., Git, Docker, LSF, Clearcase) to support design and verification workflows. Provide technical guidance and training to team members on best practices for FPGA/ASIC methodologies. Stay updated on industry trends and emerging technologies to continuously improve design methodologies. Must Have: Bachelor s or Master s degree in Electrical Engineering, Computer Engineering, or a related field. 3 years of industry experience in FPGA and embedded design. Strong understanding of FPGA and embedded design principles. Hands-on experience with FPGA development tools (e.g., Vivado, Quartus). Familiarity with ASIC design flows and methodologies. Proficiency in utilities such as Git, Docker, LSF, Jenkins, Artifactory, and Clearcase. Knowledge of CI/CD workflows and automation tools. Understanding of digital design verification methodologies (e.g., SystemVerilog, UVM). Experience with timing analysis, synthesis, and timing closure for FPGA/ASIC designs. Familiarity with system-level integration and validation. Strong problem-solving skills and the ability to debug complex hardware/software issues.

Job Description Job Description Job Title: Hardware Engineer Location: North Reading, MA Duration 12 month (Temp to Perm) Payrate: $53 to $85 per hour Job Description: The Hardware Engineering team plays an integral role in the design and development of digital, analog, and optical automated test instrumentation and fixtures that meet the challenging needs of our critical Defense and Aerospace customers. This role is a highly technical engineering position that blends circuit design, PCB architecture, component selection, signal/power integrity analysis, and hardware bring-up and debug. It defines design strategies, applies rigorous engineering standards, and supports informed product release decisions. The person in this role partners closely with mechanical, applications, systems, software, and quality engineering teams throughout the development lifecycle to translate requirements into robust designs, act as the technical owner of the hardware, uncover integration and reliability risks early, and improve product manufacturability, testability, and long-term sustainability. By combining schematic capture, PCB layout guidance, prototype bring-up, root-cause debugging, tolerance and worst-case analysis, and design-for-manufacturing/test practices, this role helps deliver high-confidence, mission-ready hardware and drive high-quality outcomes across the development process. Responsibilities: Implement PCB design processes using tools, methodologies, and design frameworks, with emphasis on fundamentally sound high-level architecture, component selection, schematic capture, and artwork generation for digital, analog, and optical instrumentation. Design, build, and maintain comprehensive prototyping plans for new products, ensuring thorough initial bring-up, debug, and validation of both expected and edge-case circuit behavior. Be proficient in debugging analog, digital, and bus-based hardware using benchtop lab equipment, oscilloscopes, and other test instrumentation. Collect, analyze, and interpret design verification data; summarize test data and reporting findings; and contribute to documentation review, design traceability, and release status reporting. Communicate design status, verification results and technical risks clearly, providing factual, measurable input that supports engineering and management decision-making. Interact closely with product managers, software/mechanical/systems engineers, and cross-functional hardware colleagues to understand project objectives, review requirements and design concepts early, and provide design input focused on manufacturability, testability, and customer impact. Work closely with operations and new product integration teams to ensure that designs are not only highly functional but also highly manufacturable. Execute verification strategies that go beyond nominal operating conditions, including worst-case, tolerance, and environmental stress analysis to validate real-world customer use cases. Support design reviews that provide feedback to fellow hardware engineers to reduce design risk and prevent respin rate Must Have: BSEE or MSEE 5-12 years PCBA design and simulation experience with a focus on schematic/circuit design Experience designing complex, high-speed, multi-layer PCB assemblies and reviewing artwork designs Strong circuit characterization, verification, and debug skills Experience working with multi-disciplinary engineering teams communicating requirements and highlighting potential risks to project management Experience working directly with customers presenting design work, highlighting design risks/challenges, and collaborating to find solutions. Minimal PCBA rework capabilities C/C experience preferred

Job Description Job Description Job Title: Test Lead (Axiom) Job ID: 26-36794 Location: Onsite, Atlanta, GA Duration: 12 Months Required skills: Skill Test Lead (Axiom) Job Description We are seeking an experienced Test Lead to lead end-to-end testing efforts for enterprise data warehouse and regulatory reporting initiatives within the banking domain. The ideal candidate will have strong expertise in Application Lifecycle Management (ALM), Software Development Life Cycle (SDLC), Project Management Life Cycle (PMLC), and ServiceNow processes. This role will be responsible for driving test strategy, planning, execution, defect management, and release readiness across complex data integration and reporting projects. The candidate will work closely with Business Analysts, Developers, Project Managers, UAT users, and Regulatory Reporting stakeholders to ensure high-quality delivery of solutions. The role requires strong leadership in coordinating SIT, UAT, Regression, and Production Validation activities, facilitating defect triage meetings, managing testing deliverables, and ensuring compliance with enterprise quality standards. The ideal candidate should possess strong data testing and ETL testing expertise, hands-on SQL skills, and the ability to validate complex source-to-target data transformations and regulatory reporting requirements. Strong communication, stakeholder management, and team leadership skills are essential for success in this role. Required Skills 10+ years of QA/Test Management experience Strong knowledge of ALM Expertise in SDLC, STLC, and PMLC methodologies Hands-on experience with ServiceNow Strong Data Warehouse Testing experience Expertise in ETL Testing and Data Validation Experience with Test Strategy, Test Planning, and Test Execution Strong Test Case Preparation and Review capabilities Defect Management and Defect Triage leadership experience Experience coordinating SIT, UAT, Regression, and Production Validation testing Strong SQL skills for backend data validation and reconciliation Informatica PowerCenter knowledge and ETL workflow understanding Source-to-Target Mapping validation experience Data Reconciliation and Data Quality Testing expertise Experience collaborating with Business and UAT users Strong verbal and written communication skills Stakeholder Management and Leadership skills Experience working in Agile, Scrum, and Waterfall projects Ability to manage onsite/offshore testing teams Please apply on our company website ( ) with reference to job ID, or contact me at