Data Lead
Where We Are:
We are an insurance company in the middle of a major architectural transformation.
Our current data environment is built on MS SQL Server.
Our target architecture includes PostgreSQL, Amazon S3, and a Lakehouse platform.
The direction has already been defined. What we need now is someone who can take ownership and successfully execute the transition.
The role:
The first six months are about foundations. You'll learn the existing MS SQL environment well enough to design a migration to PostgreSQL that doesn't break anything. You'll stand up a Lakehouse on S3 and start pulling in data from SQL, NoSQL, and external APIs.
You'll define how our internal systems must produce and store data contracts, quality standards, the works. And you'll go through our QlikSense setup and fix what's slow, confusing, or just wrong.
The second half is about momentum. You'll take ML models that are sitting in notebooks and get them into production claims automation, churn prediction, fraud detection.
You'll lead the technical side of integrating AI tools from external partners. And you'll hire, because right now the team needs to grow.
What We Need:
Proven experience leading projects, teams, or major technical initiatives.
Strong expertise in both MS SQL Server and PostgreSQL, including migration planning and execution.
Hands-on experience with Amazon S3 and Lakehouse technologies such as Iceberg or Delta Lake.
Practical experience with at least one of the following technologies: dbt, Spark, or Airflow.
Strong Data Governance experience, including data lineage, data cataloging, data quality frameworks, and implementation in complex enterprise environments.
Demonstrated ability to coach, mentor, and develop team members.
Languages:
English — B2 or higher
Russian — C1 or higher
Why This Role Is Worth Your Time:
The architectural vision is already defined.
The budget has been approved.
The business understands the value of data and is committed to investing in it.
What is missing is the person who can take ownership, drive execution, and turn the strategy into reality.
To apply:
https://docs.google.com/forms/d/15gGnHXP-_uUuphzHDH3BQsZ9e1UZxjTV1gJjnBDj4i0/edit
Data Lead
Where We Are:
We are an insurance company in the middle of a major architectural transformation.
Our current data environment is built on MS SQL Server.
Our target architecture includes PostgreSQL, Amazon S3, and a Lakehouse platform.
The direction has already been defined. What we need now is someone who can take ownership and successfully execute the transition.
The role:
The first six months are about foundations. You'll learn the existing MS SQL environment well enough to design a migration to PostgreSQL that doesn't break anything. You'll stand up a Lakehouse on S3 and start pulling in data from SQL, NoSQL, and external APIs.
You'll define how our internal systems must produce and store data contracts, quality standards, the works. And you'll go through our QlikSense setup and fix what's slow, confusing, or just wrong.
The second half is about momentum. You'll take ML models that are sitting in notebooks and get them into production claims automation, churn prediction, fraud detection.
You'll lead the technical side of integrating AI tools from external partners. And you'll hire, because right now the team needs to grow.
What We Need:
Proven experience leading projects, teams, or major technical initiatives.
Strong expertise in both MS SQL Server and PostgreSQL, including migration planning and execution.
Hands-on experience with Amazon S3 and Lakehouse technologies such as Iceberg or Delta Lake.
Practical experience with at least one of the following technologies: dbt, Spark, or Airflow.
Strong Data Governance experience, including data lineage, data cataloging, data quality frameworks, and implementation in complex enterprise environments.
Demonstrated ability to coach, mentor, and develop team members.
Languages:
English — B2 or higher
Russian — C1 or higher
Why This Role Is Worth Your Time:
The architectural vision is already defined.
The budget has been approved.
The business understands the value of data and is committed to investing in it.
What is missing is the person who can take ownership, drive execution, and turn the strategy into reality.
To apply:
https://docs.google.com/forms/d/15gGnHXP-_uUuphzHDH3BQsZ9e1UZxjTV1gJjnBDj4i0/edit
