Data Governance Job at Akaasa Technologies, Remote

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  • Akaasa Technologies
  • Remote

Job Description

POSITION

Data Governance

REQUIRED SKILLS

Should have data modeling/data architecture experience.

Data Governance Analyst Recap & Key Skills

Core Responsibilities

  • Define and manage critical data elements, metadata, classifications, and standards.
  • Apply data privacy and regulatory tags (PII, compliance labels, etc.).
  • Focus on data classification, validation, and cataloging in data catalogs.
  • Develop and validate classification rules to ensure alignment with data protection requirements .
  • Work with modern data catalogs such as Collibra, Alation, Informatica (IDMC) .
  • Ensure proper definitions and clarity around data usage and ownership.

Governance Role Expectations

  • Strong alignment with data protection and privacy requirements .
  • Hands-on with Informatica IDMC (preferred, not required).
  • No responsibility for access management , but must handle data classification and cataloging.

Candidate Profile

  • Hybrid skillset: technical + business acumen .
  • Technical skills:
    • SQL, ETL understanding, data profiling, data warehouse knowledge .
    • Ability to read, query, and analyze data .
  • Business skills:
    • Work directly with the business, understand data purpose, interpret rules.
    • Recognize and define PII and sensitive data elements .
  • Backgrounds that fit best: data modelers or data architects (already familiar with purpose, structure, and proper definitions of data).

Most Important Qualities

  • Ability to work with the business is the #1 requirement.
  • Direct experience in data governance (rare but highly valued).
  • If not experienced, candidates must have the right foundation (data modeling/architecture) so they can be trained.
  • Knowledge of compliance is less critical for contractors (often reserved for FTEs).

Top Skills to Highlight :

  • Data governance experience (classification, cataloging, metadata, PII identification).
  • Strong SQL and data profiling skills.
  • Familiarity with data catalogs (Collibra, Alation, Informatica IDMC).
  • Business-facing communication and requirements interpretation.
  • Background in data modeling or architecture is a strong plus.

Job Tags

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