Data Platform - Capability Engineer - Assistant Vice President
At a glance
VP-level Data Engineering role at Statestreet. Bangalore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and run platform layers for lakehouse, batch and streaming data, metadata, monitoring, security and governed access
- Create Spark pipelines with Snowflake or Databricks, then tune them for speed, reliability, reuse and cost
- Apply Apache Iceberg techniques such as partitioning, compaction and metadata control across different processing engines
- Set data contracts and access rules with product, analytics, machine learning and business partners
- Guide a small engineering pod and handle production incidents, backfills and fixes that improve platform reliability
What you bring
- At least fourteen years in software or data engineering, with a computer science or engineering degree or equivalent experience
- Hands-on Python and SQL skills, plus delivery experience with Databricks or Snowflake on AWS or another listed cloud
- Strong Spark batch and streaming development, including tuning for performance and cost
- Experience with Iceberg, data governance, CI/CD, infrastructure as code, testing, security and observability
Who this fits
This role suits a senior, hands-on data engineer who can guide a small team while owning platform delivery and production operations. You’ll work from the Bangalore office and collaborate with global teams.
From the employer
Role Summary
State Street Investment Management’s Data, Analytics & AI Services (DAAIS) team is seeking a Senior Data Engineering Lead (Assistant Vice President –2) for our Bangalore, India office. This role is accountable for the design, build, and operate of modern data platform and software capabilities that enable investment management business. The successful candidate will bring deep hands-on expertise in large-scale data platform architecture, distributed computing, data pipeline engineering, and modern cloud architecture. This role will execute on the broader platform roadmap in partnership with senior leadership and global stakeholders and may lead a small team/pod to deliver reliable, scalable platform outcomes.
Key Responsibilities
- Design, build, and operate modern data platform capabilities across lakehouse, batch, streaming, metadata/catalog, observability, security, and governed consumption layers.
- Develop scalable batch and streaming data pipelines using Apache Spark, Snowflake, and/or Databricks, applying strong engineering practices for performance, reliability, reusability, and cost efficiency.
- Implement and optimize Apache Iceberg tables and open data formats, including partitioning, compaction, metadata management, and cross-engine performance tuning.
- Apply disciplined software and data engineering practices across CI/CD, Infrastructure as Code, automated testing, schema/version management, data quality controls, and end-to-end observability.
- Partner with Product, Analytics, ML, and business SMEs to define data semantics, data product contracts, schemas, SLAs, documentation, access controls, and governed serving models.
- Engineer data governance capabilities across lineage, observability, permissions, entitlement enforcement, sensitive data classification, masking/tokenization, auditability, and policy-based controls.
- Create AI-ready data assets by enforcing standards for completeness, accuracy, validity, consistency, timeliness, uniqueness, lineage, provenance, metadata quality, and semantic consistency.
- Optimize platform performance and cost through workload tuning, partitioning/clustering, caching, lifecycle management, retention/purge strategies, and query optimization.
- Own operational stability by troubleshooting production issues, supporting backfills, participating in incident response, driving root-cause fixes, and improving platform reliability.
- Provide technical leadership for a small team or pod, including planning, mentoring, delivery oversight, engineering standards, and operational excellence.
Required Qualifications
- 14+ years in software/data engineering; BS/MS in CS/Engineering (or equivalent experience).
- Strong hands-on coding in Python and SQL (Java/Scala a plus).
- Proven delivery of lakehouse/data platform solutions using Databricks and/or Snowflake on AWS (GCP or Azure acceptable).
- Strong Spark (batch/streaming) development and performance/cost tuning.
- Experience with Apache Iceberg and table/catalog governance concepts (e.g., Unity Catalog or equivalent).
- Production engineering practices: CI/CD, IaC (Terraform/CloudFormation), automated testing, security basics, and observability.
- Ownership mindset for operations: on-call/incident response, RCA, backfills, and reliability improvements; strong communication with global teams.
Preferred Qualifications
- Financial services experience (asset management preferred).
- Experience across structured + alternative/unstructured data, plus governance tooling (Snowflake Horizon/Unity Catalog/Collibra/Alation or similar).
- Use of AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) while maintaining code quality.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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