Technical Data Steward

Horizontal Talent
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Data Cleansing
Data Governance
Data Infrastructure
ETL
Data Migration
Identity and Access Management
Meta-Data Management
Role-Based Access Control
SQL Databases
Systems Integration
Technical Data Management Systems
Data Processing
Google Cloud Platform
Snowflake
Data Management
Data Pipelines
Databricks

Job description

Join our team as a Technical Data Steward, where you'll play a pivotal role in managing and enhancing metadata to ensure data governance standards are met, significantly impacting data accessibility and usability. Responsibilities

  • Oversee the documentation and discoverability of datasets, tables, and pipelines.
  • Implement and maintain data cataloging standards and classifications, including sensitive data handling.
  • Define and enforce data governance policies to ensure compliance with regulations.
  • Build and maintain data lineage to support impact analysis and traceability.
  • Collaborate with cross-functional teams to enhance data accessibility and usability.
  • Monitor data quality standards and proactively address issues.
  • Manage access governance workflows and handle sensitive data appropriately.
  • Configure integrations and automation with various data platforms and BI tools.

Requirements

  • Proven experience with data governance and metadata management tools.
  • Strong understanding of data governance policies, including RBAC/ABAC models.
  • Proficiency in SQL and data pipeline concepts (ETL/ELT).
  • Excellent communication and collaboration skills to engage with stakeholders effectively.

Preferred Skills

  • Experience with Atlan or similar data management tools.
  • Familiarity with modern data platforms such as Databricks, Google Cloud Platform, and Snowflake.
  • Knowledge of data quality tools and regulatory compliance frameworks.
  • Exposure to data migration processes and best practices.

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