Employment type in the employer’s posting: Full timeFrom the employer’s posting
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.
Define and maintain conceptual, logical, and physical data models for the Databricks lakehouse
Translate business requirements and data rules into structured data models
Analyze source systems and data relationships to inform target-state architecture
Design models using Unity Catalog, Delta Lake, and medallion architecture patterns
Define data architecture standards and reusable patterns across delivery programmes
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.
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
5+ years hands-on experience in data architecture and data modelling
Experience designing and implementing data models on Databricks lakehouse platforms
Experience with dimensional modelling, normalized schema design, or data vault methodology
Strong experience translating business requirements into logical and physical data models
Expertise with Delta Lake optimization, partitioning strategies, and performance tuning
Familiarity with data quality frameworks and data lineage tools (e.g., OpenMetadata)
- Strong communication skills with technical and business audiences - Bachelor’s degree in Computer Science, Engineering, or related field Good to Have:
- 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.
In the employer’s words · Read in context
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- 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
About the Role 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
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
- 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
- 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
Good to Have: - Experience designing and implementing data models on Databricks lakehouse platforms - Expertise with Delta Lake optimization, partitioning strategies, and performance tuning
- 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
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
Good to Have:
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.
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