Remote Data Solution Architect — Lakehouse & Cloud AI

Lovelytics; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Lovelytics is seeking a Data Solution Architect in the United States to design and lead scalable data platforms for enterprise clients. This role combines hands-on analytics architecture with guiding delivery teams and shaping technical proposals.

You will define data strategies, oversee lakehouse implementations on Databricks, and collaborate with sales to scope engagements while mentoring engineers across offices.

Qualifications

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

Responsibilities

• Formulate forward-looking data strategies aligned with client objectives.
• 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 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

Client-facing communication

Leadership & mentoring

Presales / RFP response

Architectural design

Cloud architectures

Education

Bachelor's or Master's in Computer Science or related field

Tools

Databricks

Spark

AWS

Azure

GCP

Job description

Lovelytics is seeking a Data Solution Architect in the United States to design and lead scalable data platforms for enterprise clients. This role combines hands-on analytics architecture with guiding delivery teams and shaping technical proposals.

You will define data strategies, oversee lakehouse implementations on Databricks, and collaborate with sales to scope engagements while mentoring engineers across offices.