Architect, Data Engineering

Job not on LinkedIn

September 26

🌽 Illinois – Remote

Although this job is listed in Illinois, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+1 more states

🌽 Illinois – Remote 🗽 New York – Remote ⚔️ Virginia – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Lovelytics

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Artificial Intelligence • B2B • Data & Analytics

Lovelytics is a leading data and AI consultancy that specializes in transforming business operations through innovative data strategies and advanced analytics. With a focus on industries such as healthcare, financial services, manufacturing, and retail, Lovelytics leverages generative AI and machine learning to empower organizations to maximize the potential of their data assets. As a premier partner of Databricks and other technology leaders, Lovelytics is dedicated to crafting tailored solutions that enhance decision-making processes and optimize performance in the rapidly evolving digital landscape.

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🤝 B2B

📋 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. • Partner with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ engineering expertise.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • 8+ 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. • Open to remote candidates in the U.S. and Ontario, Canada (location eligibility).