Top Tech Jobs & Startup Jobs

Manage end-to-end recruiting for data engineering and analytics roles. Develop candidate pipelines, manage ATS, and collaborate with hiring managers for interviews and offers.

Lead portfolio-level Data & AI strategy and technical governance for enterprise clients. Advise C-suite, drive architecture and modern data stacks, win high-value engagements, and scale engineering and data science teams.

Lead design and governance of enterprise ontologies, knowledge graph architecture, ingestion pipelines, and semantic layers. Enable semantic interoperability across data products, implement inference and reasoning, and establish standards, versioning, and data contracts to support scalable graph-driven analytics and AI augmentation.

Lead end-to-end delivery of complex, cross-functional finance and data programs. Own planning, risk and vendor management, financial close, OpEx/CapEx forecasting, and resource allocation. Coordinate stakeholders, enforce financial discipline, track vendor spend and contracts, and ensure on-time, on-budget delivery with executive-level reporting and operational transparency.

Manage large-scale data analytics engagements, collaborate with technology teams, and present solutions to stakeholders to drive business value.

Design, build, and maintain scalable data pipelines and infrastructure on AWS, collaborating with data scientists and AI teams to support analytics and ML initiatives.

The role involves engaging with client teams to gather and analyze requirements, managing projects, acting as a point of contact, and collaborating with offshore teams to deliver analytical solutions.

Manage large-scale data analytics client engagements, presenting solutions, collaborating with stakeholders, and driving digital and cloud implementations in the P&C insurance domain.

Lead enterprise-scale modernization and cloud transformation initiatives. Design AWS/Databricks architectures, define cloud platform automation, provision secure compliant infrastructure, implement IaC and scripting, build CI/CD and containerized deployment pipelines, monitor operations, and advise CXO-level stakeholders to drive technical decisions and cross-team delivery.

Design, build, and operate large-scale batch and real-time data pipelines. Implement ingestion, transformation, orchestration, streaming, and downstream delivery using Kafka, Spark, cloud platforms, and workflow tools. Ensure reliability, scalability, performance, security, secrets management, and observability while collaborating with Agile teams to support enterprise analytics workloads.