Top Tech Jobs & Startup Jobs

Lead onshore data engineering/solution lead responsible for hands-on implementation, mentoring junior developers, and managing onshore/offshore teams. Build ETL and data warehouse solutions using Azure (ADF, Synapse), Databricks, PySpark/Python and SQL. Create design artifacts, source-to-target mappings, and specification documents; able to work from client office locations.

Design, implement, and operate data platform infrastructure and CI/CD automation. Set up tools (Snowflake, AWS, SnapLogic, Alation), build sandboxes for PoCs, define release/test/support processes, enforce standards, run vulnerability scanning and risk monitoring (e.g., Snyk), perform root cause analysis, and mentor developers.

Design, configure and implement ServiceNow HRSD solutions including case management, portals, integrations, workflows, forms, reports, ACLs, and monitoring. Collaborate with HR product owners, business users, and IT teams to deliver secure, scalable global employee experience and provide technical leadership, documentation, code reviews, and troubleshooting.

Serve as a Workday functional SME for Finance and HR: gather client requirements, configure Workday Financials and HR modules, conduct testing and UAT, lead training, provide post-implementation support, perform fit-gap analysis and change management, document solutions, and collaborate on integrations and project delivery.

Lead design, development, and support of the Salesforce ecosystem. Provide technical leadership, design solution architectures, run discovery workshops, build Apex and LWC solutions, implement integrations (HubSpot, NetSuite, DocuSign, etc.), and produce technical documentation and reusable components.

Lead design and execution of test strategies for generative AI systems (LLMs, RAG, agents). Validate accuracy, factuality, fairness, bias, consistency, and security of AI outputs. Create API and model-endpoint tests, automate test suites, perform adversarial and exploratory testing, detect hallucinations, validate data quality and performance metrics, and collaborate with cross-functional Agile/DevOps teams to ensure safe, reliable GenAI deployments.

Senior hands-on Cloud Data Architect responsible for designing scalable, secure Snowflake-based data platforms and lakehouse solutions, enabling enterprise analytics and AI-native applications. Lead architecture, create design artifacts and blueprints, define scope and sizing, translate business requirements into technical solutions, collaborate with security and data teams, mentor junior staff, and guide implementation.

Develop, test, and maintain applications using Java, Python, or Node.js. Write clean, efficient code, debug and optimize, collaborate with cross-functional teams, use data structures/algorithms, work with SQL/NoSQL databases, participate in code reviews, and stay current on AI/ML concepts, agents, and automation tools.

Design, build, and optimize end-to-end ETL/ELT pipelines using Python and PySpark for large structured and unstructured datasets. Ensure data quality through validation and reconciliation, troubleshoot performance issues, implement CI/CD and code review practices, and collaborate with IT and business stakeholders to translate requirements into scalable data solutions.

Support and maintain enterprise Certificate Authority infrastructure including certificate issuance, renewal, revocation, and PKI operations. Troubleshoot certificate-related issues, ensure PKI security and compliance, collaborate with infrastructure and security teams, and contribute to documentation and process improvements.