Architect, Data Engineering

Job not on LinkedIn

🕒 July 27

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🌽 Illinois, New York, +1 more states – Remote

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

💵 $155k - $215k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 and other cloud-native technologies • Create solutions integrating on-premises and multiple cloud environments • Architect batch and streaming ingestion, real-time processing, and ELT/ETL patterns • Ensure security, privacy, compliance, and data quality at scale • Resolve complex data engineering challenges and make strategic decisions to de-risk delivery • Introduce emerging technologies and methodologies • Drive performance, cost optimization, scalability, and maintainability • Mentor engineers, review architectures and code, and guide implementation teams • Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept • Create technical blueprints and recommend tools, frameworks, and design patterns • Partner with sales and account teams to scope engagements and shape technical proposals

🎯 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 • Google Workspace, MacOS, Slack, and Atlassian

🏖️ Benefits

• Pay equity and transparency in compensation practices • Remote work option for candidates in the U.S. and Ontario, Canada • Option to work from offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto