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Senior Data Engineer​/Data Architect; Databricks & Snowflake

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Tech Mirrors
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Engineer / Data Architect (Databricks & Snowflake) urgent Need

Position

Senior Data Engineer / Data Architect (Databricks & Snowflake)

Location

Boston, MA – Hybrid

Job Type

Contract

Duration

Long term

Job Summary

We are seeking a highly experienced Senior Data Engineer / Data Architect with deep expertise in Databricks, Snowflake, and Azure cloud data platforms. The ideal candidate will have extensive experience designing and implementing scalable data pipelines, Lakehouse architectures, and real-time data processing solutions, particularly in regulated domains such as Life Sciences or Healthcare. This role requires strong proficiency in Spark (PySpark), Delta Lake, Medallion architecture, and cloud-native data engineering practices, along with a solid background in data warehouse modernization and performance optimization.

Key Responsibilities
  • Design and implement end-to-end data engineering pipelines using Azure Databricks, ADLS Gen2, and Snowflake.
  • Develop scalable ETL/ELT pipelines using PySpark, Spark SQL, Python, and Talend.
  • Build and maintain Lakehouse architecture using Delta Lake and Medallion (Bronze, Silver, Gold) layers.
  • Implement real-time and batch data ingestion pipelines, including streaming using Spark Structured Streaming.
  • Design and enforce data governance, access control, and lineage using Unity Catalog.
  • Optimize Spark workloads through partitioning, caching, broadcast joins, and cluster tuning to improve performance and reduce cloud costs.
  • Architect and manage CI/CD pipelines using Azure Dev Ops, Jenkins, and Git for automated deployments.
  • Integrate multiple data sources and systems, ensuring high-quality, reliable, and scalable data delivery.
  • Collaborate with cross-functional teams including data analysts, scientists, and business stakeholders to support analytics and reporting needs.
  • Support data warehouse modernization initiatives, including migration from legacy systems to cloud platforms.
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Position Requirements
10+ Years work experience
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