Architect, Data Engineering

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 (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

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

5+ years of experience in data engineering 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

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.

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.