Senior Data Steward (DWH System Analyst)

Responsibilities

• Data Quality Control for Regulatory Reporting: Own and evolve the data control process by developing existing automated reconciliations, expanding completeness checks, and implementing quality gates prior to report submission;

• DBT Data Testing: Expand model test coverage, monitor layer-to-layer discrepancies, and implement Data Contracts for critical data models;

• Access Control & RLS Management: Maintain and enhance the role-based access model (RBAC) and Row-Level Security (RLS) across jurisdictions; manage regular access reviews as a repeatable procedure;

• Data Catalog Enhancement: Set up lineage collection, assign dataset owners, maintain the business glossary of metrics, and promote its adoption across teams;

• Data Incident Management: Lead complex data quality incident root-cause analysis (RCA) and adjust processes and checks to prevent recurrence;

• Requirements Gathering & System Analysis: Collect business requirements from Business, Finance, and Compliance teams, translating them into detailed specifications for Data Engineering (data mapping, source descriptions, acceptance criteria);

• Data Governance Standards: Define and maintain data standards, including naming conventions, model documentation, and mandatory testing rules for critical layers.

What we're looking for in a candidate

• Strong SQL Proficiency: Ability to write heavy analytical queries, optimize slow query performance, and work with large-scale datasets;

• Hands-on DBT Experience: Expertise in tests, sources, and model documentation; strong Git skills (commits, PRs, code reviews);

• Data Quality & Governance Expertise: Practical experience setting up DQ checks and metrics; hands-on experience with Data Catalogs (OpenMetadata, DataHub, or similar tools);

• Data Access Control Understanding: In-depth knowledge of access models, roles, RLS;

• System Analysis Skills: Proven ability to translate business requirements into clear technical specifications and acceptance criteria;

• Stakeholder Management: High degree of autonomy when communicating across teams (Data Engineering, Compliance, Finance);

• Python Skills: Python proficiency for automating DQ checks and interacting with metadata APIs.

What we offer

• Remote work;

• Competitive salary, determined based on interview results;

• Fully covered sick leave and vacation;

• Work equipment provided;

• 5/2 schedule with a flexible start to your workday;

• Benefit package (sports, healthcare, education);

• Everything you need to succeed, support for your ideas and initiatives!