Engineering Manager leading Platform IAM engineers at Akamai, which powers secure cloud and edge services. Driving architecture, delivery, mentorship, and high - performing team development.
About the role
- Data Engineering Manager leading regulatory data pipelines and engineering teams for Penn Entertainment’s online gaming, sports betting, and entertainment platforms. Partnering with regulators and cross-functional stakeholders.
Responsibilities
- Manage the day-to-day activities of the data engineering team, including goal setting, mentorship, coaching, leadership, guidance, performance management, and feedback
- Communicate professionally with state and provincial regulatory professionals and set clear expectations with regulators
- Operate a high-responsibility workstream with strict deadlines and audit scrutiny
- Collaborate with analytics, finance, compliance, and engineering teams to build data pipelines, infrastructure, and tooling
- Prioritize and manage cross-functional data projects from inception through delivery
- Assist in designing and maintaining data pipelines and enhancing data engineering architecture
- Collaborate with the team to meet performance, scalability, and reliability goals
- Stay current with data engineering trends, techniques, technologies, and related factors
- Perform other duties as required
Requirements
- Strong foundation in data engineering science, computer science, distributed systems, and software/system design
- Minimum 3 years in a data-oriented leadership or management role
- 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
- Time management, project management, and problem-solving skills
- Experience using Atlassian and other agile tools
- Ability to communicate complex technical information to technical and non-technical stakeholders
- Excellent presentation and communication skills
- Ability to collaborate across all organizational levels
- Ability to make and defend priority decisions based on technical assessment and regulatory need
- Team building and delegation skills
- Experience with Airflow, DBT, AWS Lambdas, or similar data pipeline and workflow tools
- Strong knowledge of relational databases, SQL, Python, and Docker
- Experience with cloud platforms such as GCP and AWS and related services
- Systems design fundamentals and working knowledge of data architecture and governance
- Interest in professional sports, betting, and/or eSports
- Nice to have: Web experience with React, Django, or Flask; machine learning concepts; Kubernetes; Terraform
Benefits
- Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements
- Opportunities for career progression and mentoring others
- Bonus eligibility for most non-sales positions
- Best-in-class benefits with options and guidance supporting employees physically, financially, and emotionally
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