Architect, Data Governance

🔥 1 minute ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

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

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

💵 $155k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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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 data and AI governance strategies aligned with business objectives and industry best practices • Create, socialize, and implement data governance policies, procedures, and frameworks while ensuring compliance • Introduce emerging technologies and methodologies for data governance tasks and capabilities • Develop and execute data governance and/or AI governance strategies improving data discoverability, quality, accessibility, usability, AI use case evaluation, and AI readiness • Lead migration of complex data architectures from on-premises to cloud environments • Establish and enforce data governance practices improving data security and compliance • Introduce containerization to enhance scalability and deployment efficiency • 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 with client needs • Partner with sales and account teams to scope engagements, shape technical proposals, and showcase governance expertise

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 5+ years of experience in data governance, with 4+ years in a client-facing role, preferably in a professional services firm • Mastery in data governance capabilities as defined by the DAMA-DMBOK • Certification in governance toolsets such as Unity Catalog, Atlan, or Anomalo • Expert knowledge of Databricks and Spark • 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 • Experience with Google Workspace, macOS, Slack, and Atlassian

🏖️ Benefits

• Equal Opportunity Employer commitment and fair application process