Data Engineering Manager – Analytics – Data Infrastructure

Data Engineering Manager – Analytics – Data Infrastructure

Requirements

• 8+ years of experience in BI and Data Warehousing.
• Experience scaling and managing 3+ person teams.
• Communication and leadership experience, with experience initiating and driving projects.
• Project management experience.
• Data architecture experience.
• Experience in SQL or similar languages.
• Development experience in at least one object-oriented language (Python, Java, etc.).
• BA/BS in Computer Science, Math, Physics, or other technical fields.

Responsibilities

• Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
• Define the processes needed to achieve operational experience in all areas, including project management and system reliability.
• Build a high-quality BI and Data Warehousing team and design the team to scale.
• Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
• Manage data warehouse plans across a product vertical.
• Drive the design, building, and launching of new data models and data pipelines in production.
• Drive data quality across the product vertical and related business areas.
• Manage the delivery of high impact dashboards and data visualizations.
• Define and manage SLA’s for all data sets and processes running in production.

Preferred Qualifications

• Experience with data sets, Hadoop, and data visualization tools.
• Advanced degree (e.g.:, MS, PhD)
• Artificial intelligence or Internal Data Infrastructure Tooling Experience
• Experience with Privacy or Security Teams
• Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management.