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Databricks Architect

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Inizio Partners Corp
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
  • Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.)
  • Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure Dev Ops for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring
  • Continuously improve systems through performance enhancements and cost reductions in compute and storage
  • Data Processing and API Integration:
    Utilize Spark Structured Streaming for real-time data processing and integrate data outputs with REST APIs
  • Lead Data Engineering Projects to manage and implement data-driven communication systems
  • Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations
  • Integrate data across different systems and platforms
  • Strong verbal and written communication skills to manage client discussions
Candidate Profile:
  • 8+ years' experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud
  • Based out of US
  • Some experience in insurance domain/ data is must
  • Programming Languages SQL, Python
  • Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL).
    • Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Dev Ops
  • B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering.
  • Excellent communication & leadership skills, with the ability to lead and motivate team members
  • Ability to work independently with some level of ambiguity and juggle multiple demands
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