Data Architect

Madison, WI

Fetch

Shop and dine, snap your receipts, and easily get free gift cards, merch, and rewards to your favorite brands with Fetch, the #1 rewards app!

View company page

What we’re building and why we’re building it. 

There’s a reason Fetch is ranked top 10 in Shopping in the App Store. Every day, millions of people earn Fetch Points buying brands they love. From the grocery aisle to the drive-through, Fetch makes saving money fun. We’re more than just a build-first tech unicorn. We’re a revolutionary shopping platform where brands and consumers come together for a loyalty-driving, points-exploding, money-saving party.

Join a fast-growing, founder-led technology company that’s still only in its early innings. Ranked one of America’s Best Startup Employers by Forbes two years in a row, Fetch is building a people-first culture rooted in trust and accountability. How do we do it? By empowering employees to think big, challenge ideas, and find new ways to bring the fun to Fetch. So what are you waiting for? Apply to join our rocketship today!

Fetch is an equal employment opportunity employer.

The Role:

Fetch’s next step in evolving our business will require a Data Architect to join the data team and play a pivotal role in designing and building scalable and efficient data pipelines and data transformation systems to process terabytes of data each day to support Fetch’s business. You will also help develop a roadmap to migrate the existing data processing systems to the next gen architecture. You will collaborate closely with other stakeholders including back-end engineering, data science, and product management to ensure our data infrastructure meets the evolving needs of our partners and their business objectives. Success in this role requires the ability to take on challenging problems and develop an amazing solution with little to no assistance, while keeping an eye on the infrastructure cost.

Scope of Responsibilities:

  • Create data pipelines that efficiently process terabytes of data daily, utilizing data warehouses, data lakes, within the AWS cloud.
  • Model, transform and maintain large data sets, using tools such as airflow, DBT, and spark.
  • Design and implement event-driven data pipelines capable of filtering, sorting, joining, and transforming data into actionable insights with minimal latency.
  • Generate innovative approaches to datasets with millions of daily active users and terabytes of data.
  • Implement best practices for data governance, security and compliance to safeguard sensitive information and ensure regulatory compliance requirements are met.
  • Design systems and frameworks to ensure higher data quality throughout the data lifecycle. Develop, measure and enforce data quality standards.
  • Provide technical leadership to the data teams, and coach/mentor junior team members.
  • Effectively communicate product goals, progress, issues and risks to both technical and business stakeholders. This includes the ability to translate and explain technical issues to non-technical stakeholders.
  • Stay abreast of emerging technologies, tools and trends in data processing and analytics, and evaluate their potential impact and relevance to Fetch’s strategy.

 The ideal candidate:

  • 10+ years experience in building data pipelines and managing complex data transformations.
  • Self starter that can take a project from architecture to adoption, independently or leading a team.
  • Have a solid understanding of ETL vs ELT processes, data warehouses, and data lakes.
  • Advanced analytics tools such as spark, flink, and OLAP databases
  • Knowledge about message queues and event streaming (Kafka, SNS, SQS) is required.
  • Proficient in at least one modern programming language (Go, Python, Java, Rust) and SQL.
  • Comfortable presenting and challenging technical decisions in a peer review environment
  •  Infrastructure as Code and GitOps.
  • Excellent communication and leadership skills
  • Undergraduate or graduate degree in relevant field such as computer science, Data Science, Business Analytics.

At Fetch, we'll give you the tools to feel healthy, happy and secure through:

  • Stock Options for everyone
  • 401k Match: Dollar-for-dollar match up to 4%.
  • Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
  • Continuing Education: Fetch provides ten thousand per year in education reimbursement.
  • Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
  • Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People’s Day, as well as our year-end week-long break.
  • Robust Leave Policies: 18 weeks of paid parental leave for primary caregivers, 12 weeks for secondary caregivers, and a flexible return to work schedule. 
  • Hybrid Work Environment: Collaborate with your team in one of our stunning offices in Madison, Chicago, Birmingham, or Boston. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home.
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Architecture AWS Business Analytics Computer Science Data governance Data pipelines Data quality dbt ELT Engineering ETL Flink Java Kafka OLAP Pipelines Python Rust Security Spark SQL Streaming

Perks/benefits: 401(k) matching Equity Flex hours Flex vacation Health care Medical leave Parental leave Startup environment Team events

Region: North America
Country: United States
Job stats:  5  1  0
Category: Architecture Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.