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Databricks Platform Engineer

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Signify Technology

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Location:
United States , Iselin

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Category:
IT - Software Development

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Contract Type:
B2B

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Salary:

Not provided
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Job Responsibility:

  • Collaborate with stakeholders during requirements clarification and sprint planning to ensure alignment with business objectives
  • Design and implement technical solutions on Lakehouse platform (Databricks), including: Prototyping new Databricks capabilities
  • Exposing these capabilities to support Data Products strategy, and Data & AI ecosystem
  • Integrate data platforms with enterprise tools, including: Incident and monitoring systems (e.g., ServiceNow)
  • Identity management solutions
  • Data observability tools (e.g., Dynatrace)
  • Develop and maintain unit and integration tests to ensure quality and resilience
  • Support QA teams during acceptance testing
  • Act as a third-line engineer for production incidents, ensuring system stability and uptime
  • Collaborate with cloud and infrastructure teams to deliver secure, scalable, and reliable solutions

Requirements:

  • Expert knowledge of Databricks
  • Proficient in PySpark for distributed computing
  • Python for library development
  • Advanced SQL skills for complex query optimisation (e.g., Oracle, MS SQL)
  • Experience with Git for version control
  • Familiarity with monitoring tools (e.g., ServiceNow, Prometheus, Grafana)
  • Knowledge of scheduling tools (e.g., Stonebranch, Control-M, Airflow)
  • Proficiency in data quality frameworks (e.g., Great Expectations, ideally Monte Carlo)
  • Solid understanding of cloud infrastructure fundamentals (DNS, certificates, identity, load balancing)
  • Comfortable with sprint planning, stand-ups, and retrospectives
  • Skilled in Azure DevOps for project management
  • Strong debugging and troubleshooting skills for complex data engineering issues
  • Exceptional written and verbal skills, able to explain technical concepts to non-technical stakeholders

Additional Information:

Job Posted:
January 20, 2026

Work Type:
Remote work
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