VP, Data Engineering & Platforms

Socket.dev; Chicago (IL); On-site; USD 135,000 - 194,000; Full time

Job summary

PHM is seeking a VP of Data Engineering to define and advance the enterprise data engineering strategy, architecture, and capabilities. You will lead a high-performing team responsible for scalable data platforms, data products, and data governance to enable advanced analytics and decision-making.

You will partner with executives across analytics, BI, and product to translate business needs into scalable technical solutions, drive modernization, and ensure data security and reliability across

Qualifications

• 12+ years of progressive experience in data engineering, data architecture, software engineering, or related technical disciplines.
• 5+ years of experience leading and developing data engineering teams at the Director level or above.
• Experience designing and implementing large-scale enterprise data platforms and data products.
• Deep understanding of data warehouse, data lake, ETL/ELT, data integration, and data modeling principles.
• Strong cloud experience with AWS, Azure, and/or Google Cloud.
• Experience integrating structured and unstructured data, APIs, real-time and batch data environments.
• Excellent written and spoken communication with senior executives.

Responsibilities

• Define and implement the enterprise data engineering strategy and multi-year technology roadmap.
• Lead the evolution of scalable data warehouses, data lakes, and data products.
• Oversee data products for analytics, BI, measurement, and activation.
• Establish data governance, quality, security, and metadata standards.
• Partner with analytics, BI, and product leadership to enable data-driven decisions.

Skills

Data strategy

Leadership

Cloud architecture

Data governance

Executive communication

Education

Bachelor’s degree in Computer Science / IT / Engineering / Data Science or related field

Tools

AWS

Azure

GCP

Spark

ETL/ELT

SQL/SQL Server

Tableau / Datorama

Job description

PHM is seeking a VP of Data Engineering to define and advance the enterprise data engineering strategy, architecture, and capabilities. You will lead a high-performing team responsible for scalable data platforms, data products, and data governance to enable advanced analytics and decision-making.

You will partner with executives across analytics, BI, and product to translate business needs into scalable technical solutions, drive modernization, and ensure data security and reliability across