Senior Data Engineer​/Platform Lead

We are seeking a highly skilled and experienced Senior Data Engineer to design, build, and scale our modern data platform. This role is ideal for a hands-on technical leader who can architect robust data pipelines, drive best practices in data engineering, and mentor a growing team.

You will play a critical role in enabling analytics, data science, owning the end to end engineering of data pipelines and data products so that downstream reporting, and integrations run on reliable, scalable, governed, and observable data foundations.

Technical Leadership

• Design scalable, secure, high-performance data architectures (lakehouse, warehouse, hybrid).

• Lead batch & real-time data pipelines and CI/CD, version control, and IaC best practices.

• Ensure data quality, governance, and observability.

Data Platform & Engineering

• Build & maintain ETL/ELT workflows, optimize queries, and manage storage.

• Integrate data from APIs, 3rd-party systems, and streaming platforms.

• Support analytics and BI tooling with curated datasets.

Collaboration & Mentorship

• Mentor junior/mid-level engineers.

• Partner with Data Scientists, Analysts, Product Managers, and Engineering teams.

• Translate business requirements into scalable technical solutions.

SDLC-Aligned Responsibilities

• 10+ years in data engineering or related field

• Strong SQL, MS Fabric, Data Factory, Power BI

• Cloud platform experience (AWS/Azure)

• Modern data stack & orchestration tools experience

• Strong data modeling, system design, and production pipeline experience

• Real-time streaming (Kafka, Kinesis, Pub/Sub)

• Infrastructure as Code

• Machine learning data pipelines

• Data governance, security, compliance

• Team leadership / technical lead experience