Hiring: Senior Engineer Data Services Company: Tata Consultancy Services Location: San Jose, CA Job Posted Time: 2026-09-16 23:35:16 Target Skills & Keywords : Agile, Azure, Azure DevOps, CI/CD, Data Pipeline, Data Warehouse, Git, PL/SQL, PySpark, SQL About the job Required Skills: •Digital : PySpark; Data Warehouse; Data Concepts & Data Modelling; Digital : Big Data Platforms; Data Engineering; Azure Data Factory; Continuous Integration and Continuous Delivery (CI/CD); Communication Skills and Cross Team Collaboration Skills; Azure DevOps; Git; Advanced SQL •Partner cross-functionally with business stakeholders to understand data, analytics, and reporting requirements and translate them into scalable technical solutions. •Design and develop end-to-end data solutions using Microsoft Fabric, ADF, OneLake, Lakehouse, and Data Warehouse, including scalable data pipelines using PySpark and SQL and Medallion Architecture (Bronze, Silver, Gold) with Delta Tables. •Build and optimize Lakehouse and Data Warehouse solutions for reporting, analytics, and AI workloads. •Define data models, data quality standards, governance, security and performance optimization strategies. •Provide technical consulting and best practices for Microsoft Fabric adoption, migration, and modernization initiatives. •Design and implement customer data platform (CDP) solutions including customer profile unification, identity resolution, audience segmentation and real-time data activation using Hightouch and Braze. •Partner cross-functionally with cross-functional teams, including data engineers, architects, analysts, and business stakeholders to deliver high-quality data solutions. Qualifications: •Should be able to work in agile manner with the customer & stakeholders. Compensation: •$80,000 - $115,000 / year •Flexible work environment (work from home / hybrid options) •Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!