Solution Architect

Lovelytics • Arlington, VA

5d • Remote

About The Position

Lovelytics is seeking a Data Solution Architect to design and lead the build-out of modern, scalable data platforms and pipelines for clients across various industries. This role is deeply hands-on in Analytics architecture, focusing on modernizing client data to improve business outcomes. The architect will define technical strategies, architect data platforms, and guide delivery teams in implementing best-in-class ingestion, transformation, and storage solutions on the cloud. Collaboration with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ engineering expertise is also a key part of the role. This position is open to remote candidates in the U.S. and Ontario, Canada, with the option to work from offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 8+ years of experience in data engineering, analytics architecture, governance and cloud, including large-scale cloud deployments
• 4+ years in a client facing role in a professional services firm, scoping, creating architecture, and taking part in presales
• Proven track record designing and implementing modern data lakehouses, warehouses, and pipelines in AWS, Azure, or GCP
• Expert knowledge of Databricks and Spark (required)
• Experience creating proofs of concept, technical presales presentations, and pricing for engagements
• Strong client-facing communication skills with the ability to influence technical and executive stakeholders

Responsibilities

• Formulate forward-looking data strategies aligned with client business objectives and industry best practices
• Design and oversee large-scale 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior