Data Platform Engineer

Job Title: Data Platform Engineer / Developer Location- India Job Description This is a critical, high-impact role at the core of our client delivery capability. We are seeking a Data Platform Engineer with architecture depth who can design and build production-grade data pipelines, lakehouse implementations, and streaming ingestion systems directly within client environments. You will not only build but also shape the platform architecture - bridging engineering execution with architectural intent. You will operate across clients in Financial Services, Healthcare, Retail, Manufacturing, Technology, Energy, Media, Government, Education, and Hospitality, requiring the ability to adapt platform implementations to diverse industry data volumes, compliance requirements, and operational contexts. Key Responsibilities ● Design and implement end-to-end ELT/ETL pipelines including batch, micro-batch, and real-time streaming patterns ● Build and configure lakehouse platform components covering ingestion, transformation, storage, and serving layers ● Implement data pipeline orchestration including dependency management, SLA monitoring, and failure recovery patterns ● Architect and deploy event-driven ingestion systems for high-velocity, high-volume data streams ● Design and enforce data quality frameworks, schema validation, and data contract standards within pipelines ● Adapt platform implementations to meet industry-specific data compliance requirements (e.g., PHI handling in healthcare, PII controls in financial services, data residency in government) ● Configure and optimize platform environments across client infrastructure including compute, storage, and networking layers ● Collaborate with Data Architects to ensure engineering implementations faithfully realize architectural blueprints ● Develop reusable pipeline templates, infrastructure-as-code modules, and platform accelerators for multi-client reuse Soft Skills & Culture Fit Builder mentality, detail-oriented, proactive communicator, collaborative, quality-obsessed, adaptable to client environments Industry & Domain Exposure Candidates should have working experience or demonstrable exposure across 2 or more of our served industries: Financial Services, Healthcare & Life Sciences, Retail & Consumer Goods, Manufacturing & Supply Chain, Technology & Telco, Energy & Utilities, Media & Entertainment, Government & Public Sector, Education, or Hospitality & Travel. Familiarity with at least one of our core capability areas - Modern Supply Chain & Operations, Finance AI, Growth & Revenue AI, Legal & HR Next, or Enterprise Office Transformation - is strongly preferred. Technical Requirements Must-Have Skills ● Tier 1: SQL and advanced query optimization, Python or Scala for pipeline development, cloud data platforms (AWS/Azure/GCP), batch and streaming pipeline design, API and event-based integration, version control and CI/CD for data pipelines ● Tier 2: Lakehouse architecture patterns (Delta/Iceberg/Hudi), data pipeline orchestration frameworks, stream processing frameworks, data contract and schema registry design, infrastructure-as-code for data platforms Nice-to-Have Skills Familiarity with data mesh platform enablement, semantic layer integration, data observability tooling, multi-cloud data platform deployments