Note: The job is a remote job and is open to candidates in USA. SRS Consulting Inc is seeking a Senior Data Engineer to lead critical platform migration initiatives and build scalable, production-ready cloud data platforms. The role owns data systems across their full lifecycle, from architecture and implementation to optimization, troubleshooting, and maintenance.
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
- Cloud-native data engineering tools
- 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
Skills
- Deep expertise in Platform and/or Databricks
- Proven experience in setting up scalable, production-ready data platforms from the ground up
- Owned the full lifecycle of complex data systems — from architecture and implementation to optimization, troubleshooting, and long-term maintenance
- 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
- Built real systems end-to-end
- 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
- Learn from what didn't work and apply those lessons forward
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