Architect, Data Governance

Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics.

Our work spans the full data and AI lifecycle:
Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization — all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500 clients.

In the last year, Lovelytics has grown from 85 to 500+ people across the Americas, all while keeping the technically excellent, low-ego culture that makes the work worth doing, earning us a Best Places to Work recognition and a spot among Databricks' top partners.

Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions. Since partnering with Databricks in 2021, Lovelytics has experienced exponential growth, growing from 50 people to over 500 over the past 3 years. Lovelytics is a trusted partner for many of the most high-profile enterprise clients in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services.

We’re looking for a Data Governance Architect to formulate data and AI governance strategies aligned with business objectives and industry best practice for our clients.

You’ll define technical strategies, architect data platforms, and guide delivery teams to implement best-in-class ingestion, transformation, and storage solutions on the cloud. You’ll also partner with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ Governance expertise.

This role is open to remote candidates in the U.S. and Ontario, Canada. You’re also welcome in any of our offices in Arlington, VA;
Chicago, IL;
New York, NY; or Toronto!

• Data and AI Governance Strategy:
  Formulating data and AI governance strategies aligned with business objectives and industry best practices.
• Create, socialize, and implement data governance policies, procedures,and frameworks for clients while ensuring compliance.
• Introduceemerging technologies and methodologies for completion of data governance tasksand capabilities.
• Developed and execute data governance and/or AI Governance strategy that improved data discoverability, data quality, accessibility, usability, AI use case evaluation, and AI readiness.
• Leadthe successful migration of complex data architecture from on-premises to cloud environments.
• Establish and enforce data governance practices resulting in improved data security and compliance.
• Introducecontainerization to the organization, enhancing scalability and deployment efficiency.
• Mentor engineers, review architectures and code, and guide teams through implementation.
• Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for data engineering engagements
• Create technical blueprints and recommend tools, frameworks, and design patterns aligned to client needs

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data governance with 4+ years in a client facing role, preferably in a professional services firm
• Mastery in data governance capabilities as defined by the DAMA-DMBOK
• Certified in governance toolsets such as Unity Catalog, Atlan, or Anomalo.
• Expert knowledge of Databricks and Spark (required)
• Experience creating proofs of concept, technical…