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