Job Description

DESCRIPTION

Job summary
The Whole Foods Market (WFM) Data and Analytics Tech Applications Team (DATA) is seeking an experienced and innovative Data Engineering Manager (DEM) to lead medium to large, cross-functional strategic initiatives that support WFM strategic goals. This is a unique opportunity for someone inspired by WFM core values and is interested in Amazon's high-growth grocery business to bring their whole self to the role.

Key job responsibilities
We are seeking a Data Engineering Manager who will own the data and integration for WFM data and analytic needs. This high impact role will lead a team to help design and build our north star data infrastructure moving WFM away from our patchwork of legacy solutions. You should be an expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data lake and end-user facing applications. The role requires someone who loves data, understands enterprise information systems, has a strong business sense, and can lead a team to put these skills into action. You will have an enormous opportunity to make a large impact on our modernized design, architecture, and development of data products. You will work with a data engineering team well versed in the legacy solutions and be asked to build a team to deliver on the future vision.

A day in the life
You will work with other leaders to define and execute the data engineering strategy for WFM focusing on both driving business value and achieving operational excellence.
Lead and coordinate design/implementation efforts working with multiple teams to develop optimal solutions.
Make appropriate tradeoffs to optimize time-to-market, and communicate goals, roles, responsibilities, and desired outcomes to internal and external cross-functional teams.
Use your excellent business and communication skills to work with business owners, to define key business questions, develop requirements, and to build data sets that answer those questions.
Leverage your experience to grow, lead, mentor, and inspire a team of excellent data engineers.
Have a company-wide view of the Data Engineering and consistently invent and simplify "hands off the wheel" solutions at scale. Write and contribute to weekly/monthly/quarterly business reviews, 1 and 6-pagers, and operational plan (Op) documents.

About the team
We enable sophisticated, fact-based decision making across WFM by delivering constantly evolving technology and analytic capabilities. Everyone on the team needs to be entrepreneurial, take on multiple roles, and work in a highly collaborative environment. This team will tackle challenging and novel situations every day and will have the opportunity to redefine the grocery industry while working with different teams across WFM and Amazon. You will be able to contribute and enjoy the wonderful blend of WFM and Amazon Tech Culture. You will be based out of Bengaluru, IN, one of the best places to live and work. Most importantly, you'll be contributing to WFM's Higher Purpose of Nourishing People and the Planet!

BASIC QUALIFICATIONS

6+ years of experience managing a DW or BI team and influencing the data strategy of your team or organization
5+ years of experience as a Data Engineer or in a similar role (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
Experience with AWS, data warehousing, data modeling, building ETL pipelines, and using SQL
Experience with at least one parallel processing data technology such as Redshift, Teradata, Spark or Hadoop based big data solution
Proficiency in one of the scripting languages - python, ruby, java or similar
Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions
Experience redesigning legacy processes and systems
We are looking for someone who is keen to demonstrate their existing skills while trying new approaches
Excellent judgment, organizational and problem solving skills: technical, project, and personnel
Exceptional skill in technical communication with peers and non-technical cohorts

PREFERRED QUALIFICATIONS

Success delivering products/services in a high-growth environment, exhibiting strong ability to identify and solve ambiguous customer-focused problems.
High attention to detail with proven ability to juggle multiple, competing priorities simultaneously and make things happen in a fast-paced, dynamic environment
Experience leading large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, Glue, EMR, EC2, Data-pipeline and other big data technologies
Experience building data products incrementally and integrating and managing datasets from multiple sources
Experience prioritizing competing demands, scoping large efforts and negotiating timelines are necessary skills.
Excellent interpersonal skills; ability to work successfully with teams across the organization, including Engineering, Program Management, Quality Assurance, and Senior Leadership
Strong analytical and quantitative skills; ability to use hard data and metrics to back up assumptions and opinions.