About the Role & TeamAs 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.
About the Work 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
About the You - 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
What We Offer - Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements.
- Opportunities for career progression and mentoring others
#LI-REMOTE
#LI-Hybrid
Salary Range
$165,000-$200,000 USD
