Job Title:  Associate Director | Others | Mumbai | Engineering | Data Modernization & Migration

The team

The team must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth.

Key Responsibilities

• Cloudera Platform Leadership: Lead the design, implementation, optimization, and modernization of Cloudera-based data platforms.
• Big Data Architecture: Define scalable architectures for large-scale data ingestion, processing, storage, and analytics.
• Data Modernization: Lead enterprise data migration, modernization, transformation, and platform optimization initiatives.
• Data Engineering: Oversee large-scale data ingestion, ETL/ELT pipelines, data processing, and analytics workloads.
• Data Governance: Define and implement data governance, security, quality, compliance, and architecture standards.
• Platform Engineering: Ensure data platforms deliver high availability, scalability, performance, reliability, and operational excellence.
• Cloud Data Platforms: Drive adoption and integration of cloud platforms and modern data lake architectures.
• Technical Leadership: Provide technical direction across Big Data, analytics, data engineering, and platform initiatives.
• Team Leadership: Lead, mentor, and develop data engineers, architects, and platform engineering teams.
• Stakeholder Management: Partner with business, product, analytics, engineering, and technology stakeholders.
• Program Management: Drive delivery of enterprise-scale data platform and analytics programs.
• Innovation: Identify and implement modern technologies and approaches to improve data platform capabilities and business value.

Required Skills & Experience

• 9–12 years of overall IT experience.
• 5+ years of experience working with Big Data and Cloudera ecosystems.
• Strong expertise in Cloudera Data Platform (CDP), Hadoop, HDFS, Hive, Impala, Spark, Kafka, HBase, and YARN.
• Strong experience in Big Data architecture and large-scale data processing.
• Experience designing and managing data ingestion and ETL/ELT pipelines.
• Strong knowledge of SQL and programming languages such as Python, Scala, or Java.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Strong understanding of data lake and modern data platform architectures.
• Experience leading enterprise data transformation, migration, modernization, and analytics programs.
• Strong understanding of data governance, security, quality, and compliance.
• Experience managing and mentoring data engineering and platform teams.
• Strong stakeholder management, communication, leadership, and delivery management skills.