The Data Architect / Modeler works closely with business stakeholders, data owners, and application teams to translate business and data requirements into clear, implementable target-state data models and designs on Databricks. This role bridges business understanding and technical execution — ensuring data architecture is consistent, scalable, and aligned with enterprise data strategy.
Key Responsibilities- Define and maintain conceptual, logical, and physical data models aligned with Databricks lakehouse architecture
- Translate business requirements, data definitions, and business rules into structured data models and implementable designs
- Analyze existing source systems, data structures, relationships, and dependencies to inform target-state architecture
- Design data models leveraging Databricks Unity Catalog, Delta Lake, and medallion architecture patterns
- Define and apply data architecture standards, patterns, and reusable approaches across delivery programmes
- Work closely with engineering teams to ensure data models are technically feasible and implementable on Databricks
- Identify and resolve data architecture and modelling gaps across business domains
- Support data standardization, metadata management, lineage, and data quality considerations in target designs
- Maintain traceability between business requirements and resulting target data structures
- Provide hands-on guidance to delivery teams and contribute to continuous improvement of data architecture practices
- 5+ years hands-on experience in data architecture and data modelling
- Strong experience translating business requirements into logical and physical data models
- Hands-on experience with Databricks platform — Delta Lake, Unity Catalog, medallion architecture patterns
- Experience with data architecture standards, patterns, and enterprise data design principles
- Proficiency with data modelling tools and notation (ERD, UML, dimensional modelling)
- Experience with data governance, metadata management, and data lineage
- Strong communication skills with technical and business audiences
- Bachelor’s degree in Computer Science, Engineering, or related field
Good to Have:
- Experience designing and implementing data models on Databricks lakehouse platforms
- Expertise with Delta Lake optimization, partitioning strategies, and performance tuning
- Experience with Databricks SQL, Spark SQL, and data transformation on Databricks
- Complex banking data and financial services data models
- Large-scale data transformation or migration programmes on cloud platforms
- Experience with dimensional modelling, normalized schema design, or data vault methodology
- Familiarity with data quality frameworks and data lineage tools (e.g., OpenMetadata)
- Experience with Agile delivery and iterative data architecture design
- Master’s degree or advanced certifications in data architecture
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- 5+ years of hands-on experience in data architecture and data modeling
- Experience translating business requirements into logical and physical data models
- Hands-on experience with Databricks, Delta Lake, Unity Catalog, and medallion architecture patterns
- Experience with data architecture standards, patterns, and enterprise data design principles
- Proficiency with data modeling tools and notation, including ERD, UML, and dimensional modeling
- Experience with data governance, metadata management, and data lineage
- Strong communication skills with technical and business audiences
- Bachelor's degree in Computer Science, Engineering, or a related field
- Experience designing and implementing data models on Databricks lakehouse platforms
- Expertise with Delta Lake optimization, partitioning strategies, and performance tuning
- Experience with Databricks SQL, Spark SQL, and data transformation on Databricks
- Experience with complex banking and financial services data models
- Experience with large-scale data transformation or migration programs on cloud platforms
- Experience with dimensional modeling, normalized schema design, or data vault methodology
- Familiarity with data quality frameworks and data lineage tools such as OpenMetadata
- Experience with Agile delivery and iterative data architecture design
- Master's degree or advanced certifications in data architecture
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
