Data Engineering Architect — Remote Lakehouse on Databricks

Lovelytics; Arlington, Chicago (VA, IL); Hybrid; USD 155,000 - 215,000; Full time

Job summary

Lovelytics is seeking a Data Engineering Architect to design and lead scalable data platforms for diverse clients. The role is hands-on in data engineering architecture, guiding ingestion, transformation, and storage on the cloud, with collaboration across sales and account teams to scope engagements.

The position supports remote work in the U.S. and Ontario, and welcomes presence in Arlington, VA; Chicago, IL; New York, NY; or Toronto offices.

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
• Tech stack includes Google Workspace, MacOS, Slack, and Atlassian

Responsibilities

• Formulate forward-looking data strategies aligned with client objectives.
• Design and oversee lakehouse and warehouse implementations on Databricks and cloud-native tech.
• Create solutions that integrate on-premises and multiple clouds.
• Architect batch and streaming ingestion, real-time processing, and ELT/ETL patterns.
• Ensure security, privacy, compliance, and data quality at scale.
• Tackle intricate data challenges and guide risk-aware delivery decisions.
• Introduce emerging technologies to keep client solutions current.
• Drive performance, cost optimization, scalability, and maintainability.
• Mentor engineers and review architectures and code.
• Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos.

Skills

Client-facing communication

Leadership & mentoring

Strategic data engineering

Education

Bachelor’s or Master’s in Computer Science or Engineering

Tools

Databricks

Spark

AWS

Azure

GCP

Google Workspace

MacOS

Slack

Atlassian

Job description

Lovelytics is seeking a Data Engineering Architect to design and lead scalable data platforms for diverse clients. The role is hands-on in data engineering architecture, guiding ingestion, transformation, and storage on the cloud, with collaboration across sales and account teams to scope engagements.

The position supports remote work in the U.S. and Ontario, and welcomes presence in Arlington, VA; Chicago, IL; New York, NY; or Toronto offices.