Top Tech Jobs & Startup Jobs

Lead technical pre-sales for Databricks engagements: run discovery, design solution architectures, scope and estimate efforts, produce proposals/SOWs, deliver demos/POCs, respond to RFIs/RFPs, maintain reusable pre-sales assets, qualify opportunities with sales, and hand off to delivery teams.

Build and maintain automation regression suites and frameworks, design and execute automated and manual tests across reporting systems and ETL/data pipelines, perform SQL-based data validation, validate data migrations and end-to-end flows, triage defects with cross-functional teams, and maintain QA documentation and test reports.

Lead design, implementation, deployment, and scaling of AI-driven applications with emphasis on RAG-based chatbots. Architect solutions using Python and Java, deploy on AWS, mentor engineers, collaborate cross-functionally, ensure testing/performance tuning, and research emerging AI technologies to drive innovation.

Design and define conceptual, logical and physical data models on Microsoft Fabric. Create reusable Bronze/Silver/Gold datasets, define grain/keys/relationships, produce source-to-target mappings, support Power BI semantic models, document lineage and data quality, and collaborate with engineers, architects, governance and business stakeholders.

Lead enterprise resource management: capacity planning, allocation, utilization tracking, and forecasting. Establish governance, align resources to delivery (Agile/Waterfall/Hybrid), partner with PMO/L&D, and drive reskilling and utilization improvements to support on-time project delivery.

Lead and execute AI-driven, programmatic SEO strategies to drive a $35M pipeline target. Own technical, on-page, and off-page SEO, programmatic content generation, cloud-based automation, experiments, backlink growth, analytics, and mentoring junior team members to scale repeatable SEO systems across North America and Europe.

Own and run the performance management cycle, drive KPI governance and analytics, design and deliver L&D strategy and training programs, conduct capability and competency mapping, manage certification and training records, and strengthen related policies and processes to align employee development with business objectives.

Lead cross-functional engineering teams to deliver software using Agile/Scrum. Translate business requirements, own SDLC, facilitate ceremonies, manage risks/dependencies, track sprints in JIRA, and integrate DevOps, testing, and release processes.

Lead and manage data engineering teams to design and support cloud-based data tools, build scalable data pipelines and models, ensure data quality and security, collaborate with architects, oversee agile delivery, hiring, escalations, and pre-sales enablement, and mentor team members for enterprise-grade solutions.

Design, develop, and maintain scalable Java-based microservices and web applications using Spring/Spring Boot. Build RESTful APIs, work with relational and NoSQL databases, participate in code reviews, implement CI/CD, and collaborate with cross-functional teams to deliver high-quality features and improvements.