06 Aug
|
Important Group
|
Pune
06 Aug
Important Group
Pune
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 contemporary 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.
Create POVs on data strategy, GenAI, etc.
Support proposals, RFP responses.