Architect, Data Engineering

Lovelytics is a company that modernizes data for complex enterprises across various industries. They are seeking a Data Engineering Architect to design and lead the build-out of scalable data platforms and pipelines, ensuring best practices in data engineering and cloud solutions.

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 (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

Requirements:

• 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