Manager, Data Analytics and Engineering

PrizePicks•Atlanta, GA

2d•$215,000 - $235,000•Remote

About The Position

PrizePicks is hiring a Data and Analytics Engineering Manager to lead a team responsible for building and operating scalable, reliable, high-quality data engineering pipelines and analytical data products. The role combines people leadership, technical stewardship, and cross-functional collaboration to ensure trusted, accessible data supports analytics, AI, and business decision-making. The manager will set technical direction, develop the engineering team, and partner with Product, Analytics, Infrastructure, Data Science, and Business stakeholders. The role owns data pipeline design and operations, delivery planning, engineering standards, and support for governance, security, privacy, and data retention requirements. The position is preferably based in Atlanta, but qualified applicants elsewhere in the United States may be considered, including remote candidates. The typical salary range is $215,000 to $235,000, with actual compensation depending on location, skills, experience, and education. Applicants must be authorized to work for any U.S. employer; visa sponsorship is not available.

Requirements

Graduate degree in Computer Science, Mathematics, or a related quantitative field.
At least 8 years of experience in Data Engineering or related roles.
At least 3 years leading engineers, including hiring, coaching, and delivery accountability.
Strong distributed systems fundamentals, including scaling, reliability, and data correctness.
Hands-on ability in Python and/or Java, with the ability to work directly in code and unblock delivery.
Experience with cloud data ecosystems such as GCP, AWS, or Azure.
Proficiency with SQL and at least one programming language: Python, Java, or Scala.
Experience with orchestration tools such as Airflow or Argo.
Solid understanding of data modeling, ETL/ELT patterns, and data reliability.
Experience with streaming technologies such as Kafka, Flink, or Spark Streaming.
Experience with modern data warehouses or lakehouses such as BigQuery, Snowflake, Redshift, or Iceberg.
Self-starter who takes ownership and drives ambiguous problems toward durable solutions.
Ability to mentor, raise the bar, and develop talent.
Quality-first approach, designing for operability, correctness, and reliability from the outset.
Authorization to work for any employer in the United States; the company is unable to sponsor or take over sponsorship of an employment visa.

Nice To Haves

Experience with GCP (preferred).
Familiarity with analytics engineering tools such as dbt and semantic layers.
Exposure to data governance, observability, and data quality tooling.

Responsibilities

Lead, mentor, and develop a team of Data Engineers through regular one-on-ones, coaching, and performance feedback.
Own hiring, onboarding, career development, and performance management for the team.
Foster accountability, ownership, collaboration, and continuous improvement while balancing delivery expectations with sustainable team practices.
Own the design, development, and operation of batch and streaming data ingestion, transformation, and storage pipelines, as well as analytical models.
Ensure data systems are reliable, scalable, performant, and cost-efficient.
Drive best practices in data modeling, data quality, observability, and operational excellence.
Review and guide technical designs, architecture decisions, and code quality.
Partner with platform and infrastructure teams on tooling, security, and scalability.
Translate business and analytics requirements into scalable technical solutions.
Partner with Product, Analytics Engineering, Data Science, and Business teams to deliver trusted datasets and metrics.
Own sprint planning, prioritization, and delivery commitments.
Communicate progress, risks, and tradeoffs clearly to stakeholders and leadership.
Establish and enforce data engineering standards, patterns, and documentation.
Support data governance, data contracts, and schema management.
Ensure compliance with security, privacy, and data retention requirements.

Benefits

Company-subsidized medical, dental, and vision plans.
401(k) plan with company match.
Annual bonus.
Flexible PTO, with two weeks strongly encouraged.
Generous paid leave programs, including 16-week paid parental leave and disability benefits.
Workplace flexibility and modern work schedules focused on completing work rather than hours clocked.
Company-wide in-person events and team outings.
Lifestyle enhancement program.
Company equipment provided, with Windows and Mac options.
Annual performance reviews with opportunities for growth and career development.