Associate Director - Data Engineering in Bangalore, भारत

Role Overview : We are seeking an experienced data engineering leader to drive multiple tracks and complex data https://jobeax.com/link/WPt3zoOrtuAdJg9C the Associate Director of Data Engineering, you will be responsible for driving strategic alignment, cross-functional collaboration, and overseeing the delivery of highly scalable data platforms and https://jobeax.com/link/oW0eXKqe6ASvhP0z will lead a dedicated team of data engineers, ensuring technical excellence, operational efficiency, and the successful execution of our data https://jobeax.com/link/gVNwryT2tlLF0Z0h role requires up to 50% of hands-on https://jobeax.com/link/fbqy4PtzOyUzjMUD Responsibilities : - Team Leadership : Manage and lead a high-performing team of data engineers, coordinating cross-functional dependencies and fostering a culture of continuous learning and technical excellence.- Strategic Execution : Drive and execute the technical roadmap for key data infrastructure, pipelines, and products, balancing short-term delivery with long-term strategic goals.- Technical Excellence : Drive operational efficiency across teams by enforcing engineering standards and SDLC best practices. Own the overall performance, reliability, observability, and accuracy of data pipelines. Continuously optimize highly scalable, fault-tolerant data pipelines.- Mentorship & Collaboration : Mentor senior engineers and act as the first point of contact for external stakeholders. Identify and resolve technical bottlenecks and resource constraints. Help to recruit and onboard data engineering talents to scale the team effectively.- Troubleshooting & Incident Response : Proactively identify, diagnose, and resolve critical data pipeline and platform issues, minimizing downtime and ensuring system https://jobeax.com/link/InZ4Vvph88gnTpPn Requirements : - Experience : 10+ years of proven experience in data engineering, with a strong track record of managing complex technical programs.- Architecture & System Design : Deep understanding of scalable data systems with strong system design and architecture review skills.- Cloud & Data Ecosystems : Expert-level proficiency in data architecture, the Databricks ecosystem (Delta Lake, Unity Catalog, etc.), and the AWS data ecosystem.- Databricks & Spark Expertise : Deep, hands-on expertise in Apache Spark, PySpark, and the Databricks ecosystem. Must have advanced knowledge of Delta Lake, Open Table Formats, Unity Catalog, and Databricks Asset Bundles (DAB).- Big Data & Architecture : Expert understanding of scalable data systems, Medallion Architecture, and distributed data pipelining.- AWS Data Ecosystem : High proficiency in AWS cloud ingestion and storage (S3), IAM, compute optimizations, and Infrastructure as Code (Terraform).- Scaling & Optimization : Proven experience in scaling data workloads, Data Ops, compute optimizations (Docker, Kubernetes, Databricks cluster policies), and performance tuning (e.g., query optimization, Z-ordering/Liquid clustering).- AIML & Innovation : Familiarity with AI tools, MLOps, and techniques to enhance data engineering practice at scale.- Data Domain Expertise : Prior knowledge of Finserv (especially Credit, Lending, or similar lines of businesses) and familiarity with regulatory data compliance is highly https://jobeax.com/link/twWuhIjztZJKFJAL Required : - Data bricks, Delta Lake, Apache Spark, Pyspark, Big Data, ETL, ELT, Performance Tuning, Data Pipelines, Data architecture, System Design, Docker, Kubernetes, AWS (ref:hirist.tech)