[Hiring] Data Engineering Architect @Lovelytics

Role Description

We’re looking for a Data Engineering Architect to design and lead the build-out 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.

• Define technical strategies, architect data platforms, and guide delivery teams to implement best-in-class ingestion, transformation, and storage solutions on the cloud.
• 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!

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering 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 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.
• A tech stack of Google Workspace (email, tools), MacOS, Slack (internal comms), Atlassian.

Requirements

• 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.

Benefits

• The base salary range for this position is $155,000-215,000 per year.
• Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget.
• Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below.
• Lovelytics is committed to pay equity and transparency in compensation practices.
• Remote Roles: $170,000 — $190,000 USD.

Company Description

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.

• 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.
• We maintain a technically excellent, low-ego culture that has earned us a Best Places to Work recognition and a spot among Databricks' top partners.