Remote-Eligible Hands-on Data Platform Architect (Databricks)

Lovelytics

United States

Remote

USD 155,000 - 215,000

Full time

8 days ago

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Job summary

Lovelytics in the United States is seeking a hands-on Solution Architect to design and lead the build-out of modern, scalable data platforms and pipelines for clients across manufacturing, energy, retail, and more.

You will define technical strategies, architect data lakehouses and warehouses on Databricks, guide delivery teams, and partner with sales to scope engagements and showcase engineering expertise. Remote work available in US & Ontario.

Qualifications

  • Bachelor’s or Master’s degree required in CS/Engineering or related field.
  • 5+ years of experience in data analytics and architecture, including large-scale cloud deployments.
  • 4+ years in a client-facing role, preferably in professional services.
  • 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.

Responsibilities

  • Formulate forward-looking data strategies aligned with client objectives and industry best practices.
  • Design and oversee large-scale AI, 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

Data analytics
Architecture
Client facing
Cloud deployments
Technical presales

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

Databricks
Spark

Job description

Lovelytics in the United States is seeking a hands-on Solution Architect to design and lead the build-out of modern, scalable data platforms and pipelines for clients across manufacturing, energy, retail, and more.

You will define technical strategies, architect data lakehouses and warehouses on Databricks, guide delivery teams, and partner with sales to scope engagements and showcase engineering expertise. Remote work available in US & Ontario.

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