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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro Bangalore and common Data Engineer title increase competition, but seniority and Data Vault/Snowflake specialization mitigate it.
Enterprise data modeling, governance, and Data Vault expertise make background fit highly domain-sensitive.
Explicit 9+ years and mandatory Data Vault, Snowflake, and governance expertise enforce high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead enterprise-wide data modeling design and governance to translate business needs into scalable, high-quality data assets using techniques including Dimensional Modeling and Data Vault 2.0.
Drive data modeling strategy, enforce standards, and support cloud data platform build in alignment with data architecture and governance frameworks.
Mentor data modelers and collaborate with cross-functional teams to ensure data integrity, quality, and compliance with regulatory requirements.
Minimum Requirements
9+ years of experience in enterprise data modeling, data architecture, and governance.
Proficiency with modeling tools such as ERwin Data Modeler and expertise in Data Vault 2.0, Dimensional Modeling, Semantic Data Modeling, and MDM.
Experience with AWS, Snowflake, SQL, and governance tools like Collibra.
Work Experience Required: 9+ years of relevant experience. Location: Bangalore. Role Type: Hybrid.
Ideal Candidate Profile
Strategic thinker with proven ability to lead data modeling and modernization initiatives across multiple business domains in large enterprises.
Strong technical expertise in modern data architectures supporting analytics, AI, and digital transformation.
Experienced in collaborating with global distributed teams and driving organizational data governance practices.