Solution Architect

Founded in 2017, Lovelytics helps some of the most complex enterprises across Energy & Utilities, Media & Entertainment, Manufacturing, Retail & CPG, Healthcare and Financial Services 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 of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and GCP.

In September 2026, Lovelytics became a CDW company. CDW completed its acquisition on September 25, 2026, bringing our team into its Data & Analytics Practice. Together, we can take customers from data strategy to production AI with a single partner across the full technology lifecycle.

Lovelytics now has 600+ people across the United States, Canada, Argentina, and Colombia, all working exclusively in data and AI. We've kept the technically excellent, low-ego culture that earned us a Best Places to Work recognition, a spot among Databricks' top partners, and three appearances on the Inc. 5000.

We’re looking for a Solution Architect to design and lead the build‑out of a broad scope of modern, scalable data platforms and pipelines for clients across industries. This role is deeply hands‑on in data engineering architecture, helping clients modernize their data to improve business outcomes.

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' engineering 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!

This role is not open for sponsorship

• Formulate forward-looking data strategies aligned with client business objectives and industry best practices
• Design and oversee large-scale AI, lakehouse and warehouse implementations on Databricks (must-have) and other cloud-native technologies
• Create solutions that integrate on-premises and multiple cloud environments seamlessly.
• Architect batch and streaming ingestion, real-time processing, and ELT/ETL patterns
• Ensure security, privacy, compliance, and data quality at scale on client engagements
• Tackle intricate data engineering challenges and make strategic decisions to de-risk delivery
• Introduce emerging technologies and methodologies to keep client solutions at the cutting edge.
• Drive performance, cost optimization, scalability, and maintainability across data engineering solutions
• 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 analytics and architecture, including large-scale cloud deployments
• 4+ years in a client facing role, preferably in a professional services firm
• Proven track record designing and implementing modern data lake houses, warehouses, and pipelines in AWS, Azure, or GCP. Across Data Models, ETL Pipelines, integration specifications, secruity policies, access controls and infrastructue configuration.
• Expert knowledge of…