Major League Soccer’s next generation data platform will enable the fans to have the best experience with personalized content and offerings through sophisticated analytics. This role will drive developing future of our data platform at MLS by using powerful cloud platform capabilities. This is role is responsible for building scalable data solutions that crosscuts data engineering, architecture and software development teams and will be accountable for architecting and implementing cloud native data ingestion, processing and compute at scale.
Responsibilities
Design, implement, document and automate scalable production grade data pipelines including ingestion, transformation, processing, monitoring and analytics capabilities while adhering to standard processes in software development.
Build data-intensive application solutions on top of cloud platforms such as AWS, bringing to bear powerful solutions including distributed compute, lake house, real-time streaming, and sophisticated analytics while carrying out standard methodologies for data modeling.
Collaborate with team members to solution and translate the requirements to an execution plan and timelines, and strive for greater functionality in our data systems.
Operate as a technical lead for data engineering team (both in-house and partner vendors) to increase efficiency and effectiveness.
Additional responsibilities as assigned.
Qualifications
Bachelor’s Degree in computer science or related field required
10+ years of related experience, with a track record of shipping production software.
8+ years of technical leadership
experience across a range of fields, with one or more areas of deep knowledge and experience in a sophisticated programming language.
Hands-on experience building and delivering data solutions in AWS platform (preferably AWS cloud practitioner and solution architect certification)
Working experience of distributed processing systems including Apache Spark.
Hands-on experience with RDBMS, NoSQL DBs and object storage systems.
Hands-on Experience with at least one of the following in each category:
Infrastructure as code: AWS CDK, Terraform
Orchestration and Transformation: AWS step functions, AWS glue Airflow, Dagster, Prefect, dbt
Streaming: AWS MSK, Kafka
Container: AWS ECS, EKS, Fargate, K8
Observability: AWS Cloudwatch, Grafana, Prometheus, ELK stack
Deep understanding of best software practices and application of them in data engineering and devops.
Familiarity with data science and machine learning workflows and frameworks such as AWS sagmaker.
Ability to work both independently and to collaborate with multi-functional teams to complete projects.
Lead integration of technical components with other teams as vital.
High-level of commitment to a quality work product and organizational ethics, integrity and compliance
Ability to work effectively in a fast paced, team environment
Strong interpersonal skills and the ability to effectively communicate, both verbally and in writing
Demonstrated decision making and problem-solving skills
High attention to detail with the ability to multi-task and meet deadlines with minimal supervision
Proficiency in Word, Excel, PowerPoint and Outlook
Total Rewards
Starting Base Salary: $145,000 – $185,000. MLS/SUM base salaries are contingent upon several factors including individual qualifications, market financials, and operational business needs.
We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent through the following:
Benefits – comprehensive and competitive medical, dental, and vision benefits, as well as a suite of programs to promote well-being including a $500 Wellness Reimbursement. A generous PTO offering, and hybrid Office/Remote Work Schedule are also offered to promote Work-Life balance.
Career & Professional Development – on the job training, feedback, and on-going educational opportunities to continue your personal and professional development.
Employee Engagement – office perks, discounts and employee events that go “beyond the traditional paycheck” to make you feel a part of our team and inspire you to elevate the Game!
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.