Senior Manager - Enterprise Data Engineering an...
@ Vertex Inc.

Hybrid
$150,000
Hybrid
Full Time
Posted 22 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXX****** @vertex.com
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Job Details

Job Overview

The Senior Manager - Enterprise Data Engineering and Platforms at Vertex Inc. leads the Enterprise Data Engineering team and oversees a wide-ranging Data Platform ecosystem. The role manages full-time employees and contractors to deliver scalable, governed, and innovative data solutions, ensuring delivery excellence, platform stability, and strategic alignment across the enterprise.

Platform & Delivery Leadership

  • Oversee enterprise data platforms including Snowflake, Azure Data Factory, Profisee MDM, MS Fabric, and Data Cloud.
  • Lead a blended team to ensure high-quality data pipelines and integrations.
  • Establish robust delivery processes and SLAs for stakeholder satisfaction.

People & Vendor Management

  • Manage both full-time staff and contractors.
  • Provide coaching, mentorship, and career development.
  • Oversee vendor relationships and third-party partnerships.

Strategic Alignment & Influence

  • Align data initiatives with enterprise priorities.
  • Represent the data team in executive forums.
  • Drive innovation by anticipating emerging trends.

Financial & Operational Oversight

  • Own budget responsibilities, forecasting, and reporting.
  • Ensure platform investments yield measurable ROI.

Key Skills/Competency

  • Data Engineering
  • Platform Management
  • Leadership
  • Vendor Management
  • Financial Oversight
  • Data Governance
  • Strategic Alignment
  • Innovation
  • Team Development
  • Stakeholder Management
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How to Get Hired at Vertex Inc.

🎯 Tips for Getting Hired

  • Customize Resume: Tailor technical expertise and leadership experience.
  • Research Vertex Inc.: Understand company culture and recent news.
  • Highlight Data Skills: Emphasize platforms like Snowflake and Azure.
  • Prepare for Interviews: Review enterprise data engineering challenges.

📝 Interview Preparation Advice

Technical Preparation

Review Snowflake configuration best practices.
Study Azure Data Factory integration capabilities.
Brush up on MS Fabric and Profisee MDM.
Practice data governance and pipeline optimization.

Behavioral Questions

Describe a challenging team leadership experience.
Explain managing mixed team dynamics.
Discuss vendor conflict resolution examples.
Share a time of strategic decision-making.

Frequently Asked Questions