Senior Data Engineer (Data Bricks)

SRS Consulting Inc; California; Remote; USD 150,000 - 210,000; Full time

Job summary

SRS Consulting Inc. is seeking a Senior Data Engineer to lead critical platform migration initiatives under tight timelines.

The role requires deep expertise in platform and Databricks, and a track record building scalable, production-ready data platforms from the ground up. The successful candidate will own the full lifecycle of complex data systems—from architecture and implementation to optimization, troubleshooting, and long-term maintenance—delivering robust solutions in fast-paced

Qualifications

• 7+ years of experience in Data Engineering / Cloud Data Platforms.
• Hands-on Databricks expertise and enterprise-scale data platform migration.
• Strong Python and SQL proficiency.
• Experience with distributed data processing frameworks.
• Ability to design cloud-native architectures under tight deadlines.

Responsibilities

• Design, build, and deploy modern cloud-based data platforms on Databricks.
• Lead platform migration efforts to new environments with aggressive delivery timelines.
• Develop scalable ETL/ELT pipelines and robust data architectures.
• Drive infrastructure-as-code practices for cloud provisioning.
• Collaborate with cross-functional teams to ensure smooth deployment and adoption.
• Troubleshoot performance and improve platform reliability.
• Provide technical leadership on platform design decisions.

Skills

Databricks

Python

SQL

BigQuery

Terraform

Dataplex

Data Warehousing

Cloud Architecture

Job description

Location: Remote

Duration: Long Term

Senior Data Engineer to lead critical platform migration initiatives under tight timelines. This role is ideal for engineers who bring deep expertise in Platform and/or Databricks, with proven experience in setting up scalable, production-ready data platforms from the ground up.

We are looking for professionals who have owned the full lifecycle of complex data systems — from architecture and implementation to optimization, troubleshooting, and long‑term maintenance.

This is not just a build role; it is for someone who has lived with the systems they designed, understands what works in real‑world environments, and has learned from scaling and evolving those systems.

Key Responsibilities

• Design, build, and deploy modern cloud‑based data platforms on or Databricks
• Lead platform migration efforts to new environments with aggressive delivery timelines
• Implement and optimize solutions using:
• Terraform
• Dataplex
• BigQuery
• Develop scalable ETL/ELT pipelines and robust data architectures
• Drive infrastructure‑as‑code best practices for cloud resource provisioning
• Collaborate with cross‑functional teams to ensure smooth deployment and adoption
• Troubleshoot performance issues and continuously improve platform reliability
• Provide technical leadership and strategic input on platform design decisions

Required Skills & Experience

• 7+ years of experience in Data Engineering / Cloud Data Platforms
• Strong hands‑on expertise in or Databricks
• Experience building and migrating enterprise‑scale data platforms
• Advanced knowledge of:
• Terraform
• Dataplex
• BigQuery
• Data warehousing / lakehouse concepts
• Strong proficiency in Python / SQL
• Experience with distributed data processing frameworks
• Deep understanding of cloud‑native architecture patterns
• Ability to work in fast‑paced environments with tight deadlines

What We’re Looking For

• Engineers who have built real systems end‑to‑end
• Professionals who understand the trade‑offs of architecture decisions
• Strong ownership mindset with accountability for long‑term outcomes
• Opinionated thinkers who can defend decisions, while remaining open to alternative perspectives
• Individuals who learn from what didn’t work and apply those lessons forward