Opportunity awaits...
Senior Data Architect
PEBE006
- US$180,000 to US$220,000pa
- Manhattan, New York, United States
- Permanent
About the Role
We’re looking for a highly skilled Senior Data Architect to join our client within the financial services sector.
This is a fantastic opportunity for someone to work on large-scale data platforms and deliver production-ready machine learning solutions.
What's in it for you
Work at a fast-growing financial services firm
There is the option for remote work if needed, but they ideally want someone to come onsite for 1 day a week in offices in Boston or NY
Lead enterprise data projects
10% Bonus and Stock Options
Key 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, production-grade solutions.
Troubleshoot performance issues and ensure quality, security and compliance in line with financial services regulations.
Implement robust ML Ops practices, ensuring smooth deployment and monitoring of machine learning models.
Must-Haves
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).
Nice to Haves
Solid understanding of ML Ops processes, tools, and model lifecycle management.
Strong programming skills in Python.
Hands-on experience with Databricks and PySpark.
We’re looking for a highly skilled Senior Data Architect to join our client within the financial services sector.
This is a fantastic opportunity for someone to work on large-scale data platforms and deliver production-ready machine learning solutions.
What's in it for you
Work at a fast-growing financial services firm
There is the option for remote work if needed, but they ideally want someone to come onsite for 1 day a week in offices in Boston or NY
Lead enterprise data projects
10% Bonus and Stock Options
Key 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, production-grade solutions.
Troubleshoot performance issues and ensure quality, security and compliance in line with financial services regulations.
Implement robust ML Ops practices, ensuring smooth deployment and monitoring of machine learning models.
Must-Haves
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).
Nice to Haves
Solid understanding of ML Ops processes, tools, and model lifecycle management.
Strong programming skills in Python.
Hands-on experience with Databricks and PySpark.
Peter Bellerby
Consultant - Network and Server Infrastructure
