Data Referent(Senior Engineer)

5-7 Years

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Early Applicant

Job Description

Experience

Bachelor's or Master's degree in Information Systems, Data Science, Computer Science, or related field.
Minimum 5+ years in data-related roles with strong exposure to data governance and management.
Proven experience working with data governance tools such as Datahub.io, Zeenea, Collibra (preferred).
Hands-on experience in Agile methodologies and collaborative environments.
Proven track record in implementing data governance programs in complex, global environments.
Strong understanding of data architecture, data privacy, and compliance frameworks.
Experience in the automotive or manufacturing sector is a plus.

Key Responsibilities

Define and implement data governance frameworks, policies, and standards across the organization.
Ensure compliance with local and international data regulations and internal governance rules.
Serve as the primary point of contact for data-related issues within a business domain.
Manage and maintain metadata repositories, data catalogs, and data lineage tracking.
Collaborate with data owners, stewards, and engineering teams to enforce access control and data security.
Drive adoption and integration of data governance tools (e.g., Datahub.io, Zeenea, Collibra).
Monitor and report on data quality, policy adherence, and governance KPIs.
Provide guidance and training to teams on data governance best practices.
Support Agile delivery by embedding governance principles into data projects and workflows.
Act as a liaison between business and technical teams to ensure data compliance and usability.
Ensure data quality and consistency across systems and processes.
Coordinate with data stewards, analysts, and IT teams to resolve data discrepancies.
Document business rules and data definitions to support governance and compliance.
Support data lifecycle management, including creation, updates, and archiving.
Participate in data governance committees and contribute to policy development.
Train and support end-users on data standards and tools.
Monitor KPIs and dashboards to identify anomalies and improvement opportunities.

Technical Skills

Expertise in SQL, Google Cloud Platform (GCP) services: BigQuery, Google Cloud Storage (GCS).
Strong understanding of Access Management and security principles.
Programming proficiency in Java, Python, Node.js, TypeScript.
Familiarity with metadata management, data lineage, and data cataloging.

Soft Skills