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About the Role
Lead the design and delivery of trusted, scalable data foundations that power enterprise BI, analytics, and AI. This hands-on engineering leadership role is responsible for establishing the architecture, standards, governance practices, and data products that enable trusted decision-making, enterprise analytics, and AI-powered solutions.
Responsibilities
- Own the enterprise data foundations strategy by defining the architecture, standards, semantic and knowledge layers, and roadmap for governed data assets.
- Partner with business, analytics, and platform stakeholders to translate needs into scalable data solutions and align foundational capabilities to measurable business outcomes.
- Translate business and platform needs into scalable data architecture approaches, implementation plans, and well-scoped work.
- Build scalable data products, semantic layers, and serving models that combine data modeling, master data, business context, metadata, and graph-based knowledge structures.
- Establish trusted data foundations through governance, lineage, master data management, data quality, stewardship, and access practices.
- Set engineering standards for modern data delivery including modeling conventions, schema evolution, CI/CD practices, documentation expectations, and reusable patterns.
- Lead, coach, and develop a team of engineers, supporting prioritization, delivery execution, issue resolution, and ongoing growth.
- Contribute directly to design review, code review, and resolution of complex engineering issues.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field; advanced degree is a plus.
- 5+ years of experience in data engineering, analytics engineering, BI architecture, data platforms, or related technical roles.
- Experience leading technical teams or delivery efforts.
- Strong expertise in SQL and modern data engineering practices.
- Experience designing scalable data products, serving layers, and analytics-ready data structures.
- Experience with modern cloud data platforms and lakehouse or warehouse ecosystems such as Databricks, Snowflake, BigQuery, Azure data services, or equivalent technologies.
- Experience establishing trusted data foundations through governance, lineage, data quality, metadata, access controls, and related monitoring or observability practices.
- Experience defining engineering standards, documentation practices, CI/CD approaches, and reusable delivery patterns for enterprise data solutions.
- Experience translating business needs into scalable data architecture approaches, implementation plans, and well-scoped technical work.
- Familiarity with semantic technologies, knowledge graphs, graph data modeling, or machine-readable metadata patterns is strongly preferred.
- Experience building or supporting data foundations for BI, analytics, AI, search, retrieval, or unstructured data use cases is a plus.
- Strong communication and stakeholder management skills.
- Ability to explain technical tradeoffs, align cross-functional teams, and connect foundational engineering work to business value.
- Construction industry experience is helpful but not required.
Skills
- SQL
- Data Engineering
- Analytics Engineering
- BI Architecture
- Data Platforms
- Cloud Data Platforms
- Databricks
- Snowflake
- BigQuery
- Azure Data Services
- Data Governance
- Data Lineage
- Master Data Management
- Data Quality
- Metadata Management
- Access Controls
- CI/CD
- Semantic Technologies
- Knowledge Graphs
- Graph Data Modeling
- Communication
- Stakeholder Management
Experience Level
- 5+ years of experience
- Experience leading technical teams or delivery efforts
Education Level
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field
- Advanced degree is a plus
Salary/Compensations
- $160,000.00 - $190,000.00 Annual Salary
Benefits
- Medical
- Dental
- Vision
- 401(k) with company matching
- Employee Stock Ownership Program (ESOP)
- Individual stock ownership
- Paid vacation
- Paid sick leave
- Paid holidays
- Bereavement leave
- Employee assistance program
- Pre-tax flexible spending accounts
- Basic term life insurance and AD&D
- Business travel accident insurance
- Short and long term disability
- Financial wellness coaching
- Educational assistance
- Care.com membership
- ClassPass fitness membership
- DashPass delivery membership
- Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.