Data Architect - Staff Software Engineer
Gap Inc.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessRecognizable brand, remote role, and metro location increase applicant competition despite seniority and specialized skills.
High because the role demands deep data architecture, platform and cloud experience not easily transferable from unrelated domains.
High due to strict 9–11 year requirement plus mandatory cloud, Databricks, data modelling, and governance expertise.
Job Description
Structured overview of role & requirementsAbout This Role
Own definition and governance of enterprise data architecture blueprints, design standards, and cloud-native data platform patterns.
Translate business requirements into scalable data solutions partnering with cross-functional leads and lead architecture reviews.
Drive data governance, quality frameworks, metadata management, and emerging technology evaluation for global retail data platform.
Minimum Requirements
9–11 years in Data Architecture or senior Data Engineering role with at least 3 years architecture experience.
Graduate degree in Computer Science, Information Systems, or equivalent.
Hands-on expertise with cloud-native data platforms: Azure (Databricks, Data Lake Gen2, Synapse) or GCP (BigQuery, Dataflow).
Proficiency in data modelling (lakehouse/medallion architecture), data mesh design, metadata management tools, and Python and SQL for prototyping.
Ideal Candidate Profile
Experienced architect skilled in complex, scalable data design translating business needs into future-proof blueprints within global retail or large enterprise environments.
Capable of leading cross-functional technical collaborations and mentoring peers on architectural best practices and governance.
Comfortable working with cloud-native data stacks, data governance, and platform innovation in a fast-evolving technology setting.