Job Title: Head of Data & Analytics (Sr Director / AVP Role) Job Location: Pune, Manikchand Ikon Bund Garden, Balkrishna Sakharam Dhole Patil Rd, Maharashtra 411001, India Experience Range: 18+ years Work Mode: In-office role Shift timings: General Shift (IST) About the Role: We are seeking a visionary and hands-on Senior Leader in Data Engineering to lead the design, development, and scaling of our enterprise data ecosystem. The ideal candidate will possess a deep understanding of cloud-native architecture, modern data platforms, and real-time processing frameworks, while also demonstrating leadership acumen to scale high-performing teams and drive data strategy across the enterprise. Key Responsibilities: • Define and execute the enterprise-wide data engineering roadmap aligned with business goals. • Lead the architecture and development of modern data platforms, including data lakes, data lakehouses, and real-time streaming systems. • Drive the adoption of cloud-native data infrastructure across AWS, Azure, and GCP. • Build and manage a high-performing team of data engineers, architects, and platform specialists. • Collaborate with Data Science, Analytics, Product, and Engineering teams to enable self-service data capabilities. • Oversee data pipeline development using ETL/ELT best practices, orchestration frameworks, and automation tools. • Ensure data quality, governance, and security policies are embedded in all processes. • Stay ahead of industry trends and emerging technologies, such as data mesh, data fabric, and generative AI, for optimized data operations. Technology Stack & Requirements: • Cloud & Storage: • AWS (Glue, Redshift, S3), Azure (Synapse, Data Factory), GCP (BigQuery, Dataflow). • Lakehouse architectures (Databricks, Delta Lake, Apache Iceberg, Snowflake). • Data Processing & Orchestration:Apache Spark, PySpark, Kafka, Flink, Airflow, DBT, Dagster. • Data Integration & Pipelines: Informatica, Talend, Fivetran, Matillion. • Programming & Tools: • Python, SQL, Scala. • CI/CD (GitHub Actions, Jenkins), Infrastructure as Code (Terraform, CloudFormation). • Data Governance & Quality: Collibra, Alation, Monte Carlo, Great Expectations, DataDog for observability. • AI/ML Integration Readiness: Exposure to MLOps pipelines and integration with ML platforms (SageMaker, Vertex AI, Azure ML). Key Competencies: • Proven experience building enterprise-scale data platforms (multi terabyte/petabyte scale). • Expertise in data architecture design, platform modernization, and cloud migration. • Leadership experience in managing global teams and working in agile environments. • Deep understanding of data compliance and governance (GDPR, HIPAA, SOC2). • Strong communication and stakeholder management skills, especially with non technical audiences. Delivery Responsibility: The Head of Data & Analytics will need to have hands-on delivery ownership, ensuring that data engineering initiatives are executed with precision, on time, and within scope. • Own end-to-end delivery of enterprise data platform projects, from requirements through production deployment, ensuring adherence to timelines, budgets, and quality standards. • Establish and enforce delivery frameworks, sprint cadences, and milestone tracking processes across all data engineering pods and squads. • Actively resolve delivery blockers, manage technical debt backlog, and prioritize release pipelines in coordination with product and engineering leadership. • Drive accountability for SLA/SLO adherence across data pipelines, real-time streaming systems, and lakehouse infrastructure, with measurable uptime and latency KPIs. • Lead cross-functional delivery reviews and retrospectives, instituting continuous improvement cycles to accelerate time-to-value for data products. • Champion agile delivery best practices, including sprint planning, backlog grooming, and velocity reporting, to maintain predictable and transparent delivery cadences. • Collaborate with senior stakeholders to report delivery status, escalate risks proactively, and manage scope changes with structured change-control processes. Customer Focus: • Supporting pre-sales, solutioning, and expansion of data & analytics opportunities. • Translate business problems into data architecture solutions. • Provide estimation, sizing, and approach Client engagement Participate in CXO conversations Build credibility as a thought leader Growth & expansion Identify upsell opportunities (modernization, migration, AI) Package reusable offerings (data platform accelerators) Thought leadership Create POVs on data strategy, GenAI, etc. Support proposals, RFP responses. Client Engagement: • Participate in CXO conversations. • Build credibility as a thought leader. • Growth & expansion. • Identify upsell opportunities (modernization, migration, AI). • Package reusable offerings (data platform accelerators). • Thought leadership. • Create POVs on data strategy, GenAI, etc. • Support proposals, RFP responses. Preferred Qualifications: • Bachelor’s or Master’s in Computer Science, Data Engineering, or related field. • Certification in cloud platforms (Azure, AWS, GCP, etc.).