Solution Architect

Lovelytics • Arlington, VA

2d • $155,000 - $215,000 • Remote

About The Position

Lovelytics is seeking a hands-on Solution Architect to design and lead modern, scalable data platforms and pipelines for clients, particularly in Manufacturing, Energy & Utilities, and Retail. The role focuses on data engineering architecture and helping clients modernize their data to improve business outcomes. The architect will define technical strategies, architect platforms, and guide delivery teams implementing ingestion, transformation, and storage solutions in the cloud. The position also partners with sales and account teams to scope engagements, shape technical proposals, and demonstrate Lovelytics’ engineering expertise.

The role is open to remote candidates in the United States and Ontario, Canada, and candidates may also work from the Arlington, Virginia; Chicago, Illinois; New York, New York; or Toronto offices. The role is not open for sponsorship. Lovelytics is an Equal Opportunity Employer and states that applicants are considered without regard to protected characteristics.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• At least 5 years of experience in data analytics and architecture, including large-scale cloud deployments.
• At least 4 years of experience in a client-facing role, preferably at a professional services firm.
• Proven experience designing and implementing modern data lakehouses, warehouses, and pipelines in AWS, Azure, or GCP, including data models, ETL pipelines, integration specifications, security policies, access controls, and infrastructure configuration.
• Expert knowledge of Databricks and Spark; required.
• Experience creating proofs of concept, technical presales presentations, and engagement pricing.
• Strong client-facing communication skills and ability to influence technical and executive stakeholders.
• Experience or familiarity with the listed tech stack: Google Workspace, MacOS, Slack, and Atlassian.

Responsibilities

• 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 and other cloud-native technologies.
• Create solutions integrating on-premises and multiple cloud environments.
• Architect batch and streaming ingestion, real-time processing, and ELT/ETL patterns.
• Ensure security, privacy, compliance, and data quality at scale on client engagements.
• Address complex data engineering challenges and make strategic decisions to reduce delivery risk.
• Introduce emerging technologies and methodologies to keep client solutions current.
• 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 with client needs.
• Partner with sales and account teams to scope engagements and shape technical proposals.

What This Job Offers

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