1 day ago
Singapore (city not specified)Senior
Responsibilities
- Define and maintain conceptual, logical, and physical data models for Databricks lakehouse architectures.
- Translate business requirements, data definitions, and rules into structured models, mappings, and technical designs.
- Analyze source systems, relationships, dependencies, and data flows to establish target-state architectures.
- Design solutions using Databricks, Delta Lake, Unity Catalog, and medallion architecture patterns.
- Establish reusable data architecture standards, modeling conventions, patterns, and design principles.
- Partner with data engineering teams to validate feasibility, resolve gaps, and guide implementation.
- Embed governance, metadata, lineage, quality, security, and standardization requirements into solution designs.
- Provide technical guidance, conduct design reviews, maintain requirements-to-data traceability, and improve architecture practices.
Requirements
- 5+ years of hands-on experience in data architecture, data modeling, data engineering, or related disciplines.
- Strong experience converting complex business and data requirements into conceptual, logical, and physical data models.
- Hands-on Databricks knowledge, including Delta Lake, Unity Catalog, and medallion architecture patterns.
- Understanding of enterprise data architecture, integration patterns, dimensional modeling, normalized schemas, and data design standards.
- Proficiency with data modeling techniques and tools such as ERD, UML, or equivalent approaches.
- Experience incorporating data governance, metadata management, data lineage, and data quality into solution designs.
- Strong communication and stakeholder-management skills for technical and business audiences.
- Preferred: production Databricks lakehouse modeling, Delta Lake optimization, partitioning, Databricks SQL, Spark SQL, and performance tuning experience.
- Preferred: complex banking or financial-services data models, large-scale transformation or cloud migration experience, Data Vault, advanced dimensional modeling, or complex normalized enterprise models.
- Preferred: familiarity with OpenMetadata or comparable metadata, lineage, and data quality platforms.
- Preferred: experience guiding teams through iterative architecture decisions and relevant advanced degrees or professional certifications.
Tech Stack
Databricks
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.