Data Engineering Architect: Cloud Lakehouse Lead (Remote)

Lovelytics; United States; Remote; USD 155,000 - 215,000; Full time

Job summary

Lovelytics in the United States is seeking a Data Engineering Architect to design and lead modern, scalable data platforms for diverse clients. This hands‑on role focuses on building lakehouses and pipelines on cloud platforms, with strong emphasis on security and data quality.

You will define technical strategy, guide delivery teams, scope engagements with sales, and present proofs of concept. Remote candidates in the U.S.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of 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

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

Skills

Databricks & Spark

Data architecture

Cloud deployments

Presales presentations

Client facing

Technical leadership

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Databricks

Spark

Google Workspace

MacOS

Slack

Atlassian

AWS/Azure/GCP

Job description

Lovelytics in the United States is seeking a Data Engineering Architect to design and lead modern, scalable data platforms for diverse clients. This hands‑on role focuses on building lakehouses and pipelines on cloud platforms, with strong emphasis on security and data quality.

You will define technical strategy, guide delivery teams, scope engagements with sales, and present proofs of concept. Remote candidates in the U.S.