Data Engineering Manager, Regulatory Compliance

As part of the Data Engineering team, you'll partner closely with Data Services, Analytics Engineering, Product, and Business stakeholders to design and deliver scalable, reliable, and high-quality data solutions. The ideal candidate has strong leadership, and communication skills, a passion for data, a strong background in computer science, and an interest in professional sports, betting and/or eSports.

As a key member of our team, you will:

Manage the day-to-day activities of the data engineering team, providing goal setting, mentorship, AI assisted SDLC, coaching, leadership, guidance and performance management and feedback.

Communicate professionally with several state and provincial regulatory professionals. Set clear expectations with regulators.

Comfortable operating a high responsibility workstream with strict deadlines, and subjected to auditors.

Collaborate with analytics, finance, compliance, and other engineering teams to build data pipelines, infrastructure and tooling to support Analytics initiatives

Prioritize and manage data-related projects cross-functionally from inception to delivery

Assist in the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture

Collaborate with the team to meet performance, scalability, and reliability goals

Stay current with trends, techniques, technology and other factors impacting data engineering as deemed necessary

Other duties as required

A solid foundation in data engineering science, with strong competencies in computer science, distributed systems, and software/system design

Minimum 3 years in a data oriented leadership or management role, combined with at least 5 years of experience in software/data development

Experience leading teams of 3 engineers or more

Experience in a regulated industry strongly encouraged

Demonstrated time management, project management and problem solving skills, and experience using Atlassian and other agile tools

Ability to communicate complex technical information to various stakeholders, including non-technical members of the organization

Excellent presentation and communication skills

Demonstrated ability to effectively collaborate and work with all levels of the organization

Ability to make and defend priority calls with stakeholders based on technical assessment and regulatory need Excellent teamwork and team building skills with a proven ability to delegate

Experience with data pipeline and workflow management tools like Airflow, DBT, AWS Lambdas, etc.

Strong Knowledge of relational databases, SQL, python, and docker

Experience with cloud platform (GCP, AWS), and related services

Systems design fundamentals plus working knowledge of data architecture and governance

NICE TO HAVE: Web experience (React, Django, Flask), docker, machine learning concepts, GCP, AWS, Kubernetes, Teraform