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About the role

  • Data Solution Architect designing scalable Databricks lakehouses and pipelines. Guiding cloud data engineering delivery for Lovelytics’ enterprise consulting clients.

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 and other cloud-native technologies
  • Create solutions integrating on-premises and multiple cloud environments
  • Architect batch and streaming ingestion, real-time processing, and ELT/ETL patterns
  • Ensure security, privacy, compliance, and data quality at scale
  • Tackle intricate data engineering challenges and make strategic decisions to de-risk delivery
  • Introduce emerging technologies and methodologies
  • Drive performance, cost optimization, scalability, and maintainability
  • Mentor engineers, review architectures and code, and guide implementation teams
  • Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept
  • Create technical blueprints and recommend tools, frameworks, and design patterns
  • Partner with sales and account teams to scope engagements and shape technical proposals

Requirements

  • 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
  • Experience with Google Workspace, MacOS, Slack, and Atlassian

Benefits

  • Best Places to Work recognition
  • Equal Opportunity Employer commitment

Job type

Full Time

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudETLGoogle Cloud PlatformMacOSSpark

Location requirements

RemoteUnited States

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