Who We Are:
At Brooks, we believe a run can change a day, a life, the world. Everyone who works here is a key part of our obsession to make the best running gear on the planet. We want our business — which also happens to be our passion — to be a place where everyone feels welcome and comfortable being themselves. Our company culture defines us, bonds us together, and drives our success. We live this culture daily through our brand values: Runner First, Word is Bond, Champion Heart, There is no “I” in Run, and Keep Moving. This means we always solve for the runner, do what we say we will, give it our all, are generous with our humanity, and find a way to keep moving every day, because joy is kinetic.
Are you ready to help create something extraordinary?
Your Job:
Brooks has revolutionized its Data & Analytics capabilities by rebuilding the ecosystem using best of breed cloud native technologies in multi-cloud environment. This is just the start, however, as we will continue to evaluate, implement, and expand our platform to exceed the needs of our business partners. We will partner with our business teams to understand their challenges and seek to implement solutions that they never thought possible. Further we will continue to adopt best practices for operational excellence (e.g., Agile, DevOps, CI/CD, DataOps). Brooks is a data savvy company, and our teams expect results.
The successful Principal Data Engineer candidate will be a self-starter and will be the expert for data engineering at Brooks. You will work closely with all disciplines of Data & Analytics, IT, and business teams to understand the problems and drive the correct solutions. This is an individual contributor role, it will be highly influential on defining our strategy and architecture for data engineering, and it will cover both data engineering for business intelligence and data science use cases.
Come join Brooks in leading the way with Data & Analytics!
Your Responsibilities:
Solution Delivery
·Break down and architect the most complex data engineering problems to deliver insights that meets and ideally exceeds business needs
·Own and deliver (either directly or indirectly) solutions - from ingestion of sources to data products for end user consumption, from conceptual iteration to production support
·Technical authority across all data engineering capabilities; approves all solutions and reviews functionality where appropriate
Deliver and ensure sustained performance of all data engineering pipelines and remediate where required
·Maintain plan for continual modernization of data pipelines using current technologies and processes
Platform Delivery
·Establish guiding principles, standards, and patterns and governance for data engineering
·Own all data engineering pipelines delivered as part of the Enterprise Data & Analytics platform including performance, uptime, reduced technical debt, scalability, and extensibility; establish KPIs
·Own source code management, documentation (technical and end user), and release planning for data engineering products; lean-in to DataOps, DevOps, and CI/CD to deliver reliable, tested, and scalable functionality through automation
·Foster a culture of sharing, re-use, design for scale and stability, and operational efficiency of data and analytical solutions
·Identify and proactively manage risks to the data engineering platform
·Lead the evaluation, implementation and deployment of emerging tools and processes for data engineering to improve productivity and results
·Track and be able to explain costs allocated to data pipelines, along with purpose and business value – be able to tell the story of why we are ingesting the data with the defined architecture
·Partner with Data Management, InfoSec, and Legal & Compliance teams to ensure global regulations (e.g., CCPA, GDPR) are implemented and data lifecycle is defined and implemented
Thought Leadership
·Maintain current knowledge of advancements, innovations, opportunities, and challenges in data engineering for business intelligence and data engineering for data science
·Sponsor data engineering practices across the enterprise – both to the internal engineering team and more broadly for “citizen data engineers”
·Instill comprehension of technical concepts from non-technical audiences through presentations (executive leadership and large groups), email, and meetings.
·Develop and maintain a strategy and roadmap for data engineering in alignment with the overall strategy and roadmap for the Enterprise Data & Analytics team and Organization
Overall
·Bring a positive Run Happy energy and work with the team to deliver the best possible solutions
·Learn the business, learn the data that supports the business; be a partner – don’t just implement technology
·Other responsibilities as required
Qualifications:
·Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Math, Information Systems, or related disciplines
·10+ years of experience in enterprise software solutions in the capacity of software architect, solution architect, or engineering lead
·10+ years of experience in databases, data warehouses, and ETL / ELT pipelines
·5+ years in cloud-based data warehousing (Snowflake preferred)
·Expert in Python and SQL
·Proficient with Git (command line)
·Experience with cloud microservices (AWS preferred) and/or data streaming technologies and/or Machine Learning is a big plus
·Experience building data pipelines using python and data orchestration tools like Apache Airflow
·Experience performing root cause analysis for production issues and identify opportunities for improvement
·Passionate about writing clean, documented, and well-formed code and perform code reviews
·Excellent verbal and written communication skills, demonstrating effective listening through concise, clear verbal and written communication
·Excellent interpersonal skills that inspire and build trust resulting in effective working relationships across the company
·Keen attention to detail in planning, organization, and execution of tasks, while still seeing the big picture and understanding how all the pieces fit together and affect one another
·Ability to anticipate how a decision made can affect our customers, our partners, our products, or other departments’ operations and/or morale; “connecting the dots”
·Demonstration of innovation and initiative – always looking at improving our products and processes while also displaying a willingness to dive into the details and help wherever necessary
·Passionate participation in Brooks’ sports activities a plus, overridden by the ability to understand and empathize with the runner to develop loyal, engaging relationships with our customers and the Brooks community
·Embraces and lives the Brooks values!
Our compensation reflects the cost of labor across US geographic markets. The base pay for this position ranges from$162,197 per year in our lowest geographic market up to $227,766 per year in our highest geographic market. Base pay offered will consider the specific geographic market and will vary depending on job-related knowledge, skills, and experience.
Brooks is proud to offer a robust benefits package to our employees and their families!
Benefits - including medical, dental, vision, life and AD&D insurance, disability insurance, HSA and employer contribution, FSA, family & fertility assistance, 401K Savings Plan and match, employee assistance program, and transportation assistance.
Paid Time Off - Brooks offers generous time off including three to five weeks of paid time off, eleven paid holidays, paid sick and parental leave.
Bonus - in addition to base pay, Brooks employees may also be offered an annual bonus based on company performance.
Perks - including product discounts, a home office stipend, employee recognition, fitness discounts, volunteer and donation benefits.
At Brooks, we celebrate diversity & equity. We are committed to creating an inclusive environment, and encourage people of all backgrounds, perspectives, experiences, and skills to apply. Brooks is proud to be an equal employment opportunity employer. All employment decisions are made without regard to race, religion, creed, color, national origin, age, sex, gender, gender identity or expression, two-spirit identity, sexual orientation, genetic information, sensory, physical, or mental disability, marital status, pregnancy (including childbirth and related conditions), honorable discharge or military status, protected citizen status, actual or perceived victims of domestic violence, sexual assault or stalking, HIV or Hepatitis C infection, political ideology, use of a trained guide dog by a person with a disability, or on any other basis protected by federal, state or local law, or any other non-merit based factors.
