Data Engineering Architect

🔥 40 minutes ago

🌽 Illinois, Virginia – Remote

🌽 Illinois – Remote ⚔️ Virginia – Remote

💵 $155k - $215k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Lovelytics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 Series unknown on 2023-07

Consulting • Artificial Intelligence • Enterprise

Lovelytics is a data and AI consultancy that helps large enterprises turn data and AI initiatives into measurable business outcomes. Focused 100% on data and AI, the firm offers services including data strategy and advisory, data engineering, data governance and migrations, analytics and visualization, generative AI and ML (including LLMOps and MLOps), and cloud migration/modernization. Lovelytics works with Fortune 500 clients across industries such as energy & utilities, retail/CPG & travel, manufacturing, healthcare & life sciences, communications/media/entertainment & gaming, and financial services, and partners with major platform providers like Databricks, AWS, Microsoft Azure, Google Cloud, and Anthropic.

📋 Description

• 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

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities • Health insurance