Lovelytics

Lovelytics

Lovelytics specializes in providing data, analytics, and AI consulting services, focusing on accelerating, optimizing, and modernizing clients' data and AI ecosystems to drive impactful business outcomes.

Professional Services
51-200
Founded 2017

Description

  • Develop data strategies aligned with client business objectives and industry best practices.
  • Architect and oversee Databricks-based AI, lakehouse, and warehouse implementations.
  • Design integrated data solutions across on-premises and multi-cloud environments.
  • Define batch and streaming ingestion, real-time processing, and ELT/ETL architectures.
  • Ensure data security, privacy, compliance, quality, scalability, performance, and cost efficiency.
  • Resolve complex data engineering challenges and make technical decisions that reduce delivery risk.
  • Create technical blueprints and recommend appropriate tools, frameworks, and design patterns.
  • Lead technical discovery, solution architecture, RFP responses, demos, and proofs of concept.
  • Partner with sales and account teams to scope engagements, develop proposals, and support pricing.
  • Mentor engineers and provide architecture and code reviews throughout implementation.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data analytics and architecture, including large-scale cloud deployments.
  • 4+ years of client-facing experience, preferably in a professional services firm.
  • Proven experience designing and implementing modern data lakehouses, warehouses, and pipelines on AWS, Azure, or GCP.
  • Expert knowledge of Databricks and Spark.
  • Experience with data models, ETL pipelines, integration specifications, security policies, access controls, and infrastructure configuration.
  • Experience creating proofs of concept, technical presales presentations, and engagement pricing.
  • Strong communication skills and ability to influence technical and executive stakeholders.
  • Experience using Google Workspace, macOS, Slack, and Atlassian tools.
  • Must be authorized to work in the U.S. or Ontario, Canada; sponsorship is not available.

Benefits

  • Base salary range of $155,000–$215,000 per year, with remote-role compensation of $170,000–$190,000 USD.
  • Remote work available across the U.S. and Ontario, Canada.
  • Optional office access in Arlington, Chicago, New York, and Toronto.
  • Pay equity and compensation transparency practices.

Interested in this position?

Apply directly on the company website

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