Azure Databricks Senior Engineer - Data Platform & ETL Lead

Downtown Boulder Partnership; Quincy (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Syntricate Technologies in Quincy, MA seeks a Senior Databricks Engineer with extensive Databricks (Scala) development and data engineering experience. The role focuses on end-to-end data ingestion and transformations within Databricks/Snowflake environments, including data warehousing concepts, ETL patterns, and Delta lake implementations.

The candidate should demonstrate strong SQL/Scala skills and be capable of migrating data from multiple sources to Databricks, with strong communication and

Qualifications

• Extensive Databricks (Scala) development experience.
• Strong Databricks or Snowflake background; Databricks is a must.
• Deep data engineering expertise across ingestion, transformation, and orchestration.
• Proficient in Scala for Databricks development and end-to-end data pipelines.
• Solid understanding of data warehousing concepts and ETL patterns (SCD).
• Experience with data lakes, Delta tables, and metadata management.
• Familiarity with SQL Server or Oracle databases.
• Big data Hadoop experience is a plus.
• Experience migrating from SQL Server/Oracle to Databricks; multi-source systems integration.
• Mature knowledge of Azure Databricks data ingestion and transformations.
• Strong SQL and Spark SQL capabilities.

Skills

Databricks

Snowflake

Scala

Data engineering

Data warehousing

ETL

Data lake

Delta tables

SQL Server

Oracle

Hadoop

Azure Databricks

Spark SQL

T-SQL/PLSQL

Data ingestion

Job description

Syntricate Technologies in Quincy, MA seeks a Senior Databricks Engineer with extensive Databricks (Scala) development and data engineering experience. The role focuses on end-to-end data ingestion and transformations within Databricks/Snowflake environments, including data warehousing concepts, ETL patterns, and Delta lake implementations.

The candidate should demonstrate strong SQL/Scala skills and be capable of migrating data from multiple sources to Databricks, with strong communication and