Data Architecture Lead
Overview
This role is responsible for leading the design, governance, and evolution of enterprise data ecosystems. The Data Architecture Lead will define data strategies, establish standards, and guide the organization in building scalable, secure, and high-impact data solutions. This individual partners closely with leadership to translate complex business needs into actionable data frameworks that support decision-making and innovation.
Key Responsibilities
- Design and implement scalable data solutions leveraging Microsoft Fabric tools, including OneLake, Data Factory, Power BI, and Synapse
- Build and maintain data models, pipelines, and semantic layers to support analytics and reporting
- Lead modernization efforts, including migration to cloud-based data platforms
- Translate business requirements into data architecture and technical design
- Establish and enforce data governance, quality, and security standards
- Optimize performance and cost across data workflows and reporting environments
- Provide mentorship to engineering teams and contribute to architectural standards and reviews
Required Experience
- Bachelor’s degree in Computer Science, Information Systems, or related field
- 7+ years of experience in data architecture, data engineering, or BI solution design
- Strong hands-on experience with SQL, DAX, and at least one scripting language such as Python or Spark
- Proven experience designing data pipelines, integrations, and scalable data platforms
- Deep knowledge of Microsoft Fabric and Azure data services
- Experience with dimensional modeling, ETL or ELT processes, and semantic modeling
- Familiarity with CI CD and DevOps practices within data environments
- Strong communication skills with the ability to work cross-functionally
Preferred Background
- Experience in data-intensive industries such as finance, healthcare, retail, or insurance
- Exposure to hybrid or multi-cloud environments
- Familiarity with modern data architecture approaches, such as lakehouse or data mesh
This is a high-impact role with strong visibility, offering the opportunity to shape enterprise data strategy while staying close to architecture and implementation.
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.
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