You’ll define technical strategies, architect data platforms, and guide delivery teams to implement best-in-class ingestion, transformation, and storage solutions on the cloud. You’ll also partner with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ engineering expertise.
This role is open to remote candidates in the U.S. and Ontario, Canada. You’re also welcome in any of our offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto!
This role is not open for sponsorship
Primary Responsibilties
Formulate forward-looking data strategies aligned with client business 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 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
Required Qualifications
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 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. Across Data Models, ETL Pipelines, integration specifications, secruity policies, access controls and infrastructue configuration.
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
The base salary range for this position is $155,000-215,000 per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget. Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below. Lovelytics is committed to pay equity and transparency in compensation practices.
Remote Roles
$170,000—$190,000 USD
Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.
