Senior Data Architect — ML Pipelines on Azure/Snowflake

Franklin Fitch; New York (NY); Hybrid; Full time

Benefits offered by this job

10% Bonus

Stock Options

Remote work option

Job summary

A financial services firm in New York is seeking a highly skilled Senior Data Architect. This role involves designing and optimizing scalable data pipelines using Databricks and SQL, while working with cutting-edge cloud technologies like Azure and Snowflake. Candidates should have advanced SQL skills and experience in the financial sector. The firm offers options for remote work and includes a 10% bonus and stock options, making it a compelling opportunity for data professionals.

Qualifications

• Advanced SQL experience, including performance tuning.
• Expertise in working with Snowflake data warehousing or Azure Data Lakes.
• Previous experience working in the financial services sector (banking, insurance, fintech or similar).

Responsibilities

• Design, build, and optimise scalable data pipelines using Databricks, PySpark and SQL.
• Work with modern cloud technologies — primarily Azure and Snowflake.
• Collaborate closely with data scientists, engineers, and business stakeholders to deliver high-quality solutions.
• Troubleshoot performance issues and ensure quality, security and compliance.
• Implement robust ML Ops practices, ensuring smooth deployment and monitoring.

Skills

Advanced SQL experience

Expertise in Snowflake data warehousing or Azure Data Lakes

Strong programming skills in Python

Tools

Databricks

PySpark

Azure

Snowflake

Job description

A financial services firm in New York is seeking a highly skilled Senior Data Architect. This role involves designing and optimizing scalable data pipelines using Databricks and SQL, while working with cutting-edge cloud technologies like Azure and Snowflake. Candidates should have advanced SQL skills and experience in the financial sector. The firm offers options for remote work and includes a 10% bonus and stock options, making it a compelling opportunity for data professionals.