Top Tech Jobs & Startup Jobs

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

Responsible for defining, designing, and building dimensional databases, ensuring data integrity, and implementing data standards and guidelines.

Lead the development and implementation of data and analytics projects, ensuring on-time and on-budget delivery while managing cross-functional teams.

As a Senior ML Ops Engineer, you will implement scalable systems, deploy ML models, manage infrastructure, and collaborate with teams for MLOps best practices.

The Azure Databricks Administrator will manage technical solutions on the Azure Databricks platform, oversee performance management, and support development teams.

Lead the development and enhancement of infrastructure products and services, collaborating with teams to define strategies and oversee product lifecycle.

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.

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