Senior Manager, Data Engineering
San Francisco, CA, United States
Applications have closed
Wish
Discover affordable items for your home and life needs. Enjoy our money back guarantee, frequent discounts, flat rate shipping (select markets), and more.Company Description
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 100 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Job Description
The Data Engineering data team owns and drives the foundational data platform for measurement and reporting systems. The team is custodian of all of the business data and metrics, and the guarantor of their fidelity and completeness. The team charter is to provide interfaces and guidance for all aspects of Wish data.
You will need a team that will own the data foundation and governance of Wish by building scalable data pipelines. A successful person in this role will own major components of the data landscape, drive alignment with other teams, guide architecture and design within the team and influence it outside. As a senior manager of the core data team:
What you'll be doing:
- Your team will work closely with partners throughout the company, understand their needs and provide key datasets and insights to guide their roadmaps
- You'll drive the vision and roadmap of Data Engineering to speed up Wish’s data-driven decision making process
- You will define and manage SLA's for all data sets and processes running in production.
- You'll design and build trusted, reliable and timely datasets, metrics and ETL pipelines that are critical to the health and direction of the company
- You'll help develop and advocate for data democratization, self-serve services and tools, roadmap and prioritization process, and more
- You’ll mentor and guide the professional and technical development of your team members.
Qualifications
- Bachelor's Degree in Computer Science or a related field.
- 8+ years of experience in software development, ideally focusing on big data processing and distributed systems.
- 2+ years of experience as a technical lead or a manager
- Proficient in Python, Airflow and SQL.
- Knowledge of the big data ecosystem, e.g. Hive, MapReduce, Presto, etc. and internals.
- Track record of delivering high-impact products in broadly defined subject domains.
- Excellent written and oral communication skills, ability to present to both technical and non-technical audiences
Preferred Qualifications:
- Familiarity with public cloud technologies in Amazon Web Services, Databricks
- Experience with ETL pipelines
- Familiarity with workflow management systems like airflow
- Exposure to machine learning and data science
Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don't meet 100% of the above, we encourage you to still apply!
The estimated base salary range for this position varies by the candidate's location as follows:
- Candidates located in California: $207,000 - $291,500 annually
- Candidates located in New York and Washington: $233,000 – $291,500 annually
- Candidates located in Colorado: $180,000 - $225,000 annually
- For states not listed, the estimated base salary range for this position starts around $180,000 annually
Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, qualifications and other business considerations.
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.
Tags: Airflow Architecture AWS Big Data Computer Science Databricks Data pipelines Distributed Systems E-commerce Engineering ETL Machine Learning Pipelines Privacy Python SQL
Perks/benefits: Career development Startup environment
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