Associate Director, Data Engineering- Supply Chain Technology at Wayfair LLC in Austin, TX
We're looking for an experienced senior leader with expertise in Data Engineering at scale, who will develop and execute a long-term strategy for reliable, performant, and scalable data platforms at Wayfair. In this role, you will bring extensive experience in both, technical delivery on data and a strong customer-centric approach to product management. Working within the Data Engineering organization, this individual will tightly partner with business and engineering leaders to build data platforms enabling these goals. They have knowledge of leading trends and best practices in Big Data, Business Intelligence, and Artificial Intelligence/Machine Learning (AI/ML), and build an expert level understanding of tools and technology utilized by the group to provide self-service BI and advanced analytics capabilities. The data leader should have a long history of successfully building and executing on engineering roadmaps, designing and launching products, and be an expert on modern data engineering. The data leader should also be a product athlete, understanding key product management techniques, mentoring, and leading the data team. Data & Analytics Platform:
The data leader will oversee the development of the Data Platform and assets across end-to-end Supply Chain management. In this role, you will own and build the long-term vision for what a world-class data platform looks like. You will build and prioritize a roadmap to get our data engineering teams to that ideal state, enabling critical decision-making by data consumers and algorithms. You will put mechanisms in place to ensure your org delivers high-quality, scalable, and performant data models and pipelines. Your mission is to empower internal business and analytics teams to efficiently leverage the data platform, and bring technology innovation and expertise to advance the data and analytics technology stack within Wayfair. Innovation:
We tackle e-commerce specific challenges in the analytics and applied data science domain such as the real-time, ever-changing nature of our data and complex business decisions. This org will own building, applying, and advancement of industry-best data engineering techniques to invent new data assets and systems that can be used to improve various experiences for our customers. You will work with our data engineers to innovate and build new data models and data pipelines, improve and enhance existing data systems as well as discover new opportunities to apply analytics and data science to solve critical problems. Collaboration/Partner Teams:
Beyond leading the team of Data Engineers you will be expected to partner cross-functionally with software engineering, business analytics, data science, and other key teams to build a high-value roadmap of innovation for your organization. You will be expected to drive forward with your own agenda and roadmap for Data Engineering while fitting in with the larger scope of Wayfair. You will ensure effective communication and high-performing teamwork across organizations, leveraging tried and tested processes and techniques from your past. You will lead data and analytics platform adoption, recommendations, aligning strategic technical decisions, and will guide engineers and product managers with your technical expertise by performing design reviews and ideation. You will mentor, coach, and grow staff with core data and advance the analytics competencies across Wayfair. What you'll do Own and develop technical architecture, design, and implementation of big data platforms and business analytics solutions to empower your stakeholders to solve problems through self-service reporting. Collaborate with your stakeholders and other engineering leaders to define and develop the data architecture roadmap for the functional area that you support. Use modern platforms and tools including Google BigQuery/Google Cloud Platform, Atscale, and Looker to design and implement appropriate end-to-end data architecture, data pipelines, and self-service reporting solutions. Act as a subject matter expert to leadership for technical guidance, solution design, and best practices within the Supply Chain data organization. Be a technical mentor to junior engineers and expose the team to new opportunities, while still being able to dependably deliver on ongoing goals. Keep current on event-driven, cloud-based, and the latest data technology trends (e.g. data mesh), work on proof-of-concept and make recommendations on the technologies based on their merit Build, lead, and mentor a team of highly talented data engineers; ensure the team is being challenged, exposed to new opportunities, and learning, while still being able to deliver on ambitious goals Lead roadmap and sprint planning using agile project management best practices Lead initiatives to enable Data Science and Machine Learning solutions Develop a technical center of excellence within the analytics organization through training, mentorship, and process innovation What You Have Advanced SQL and programming experience with Python, Java, or equivalent scripting language Experience developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale. Solid experience designing and implementing DW Architecture, OLAP technologies, star/snowflake-schemas to enable self-service reporting. Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm, or any similar tools. Solid experience in designing and implementing an event-driven data architecture, in a public cloud. Experience with big data technologies like Hadoop, Spark, Cassandra, MongoDB, or other open-source big data tools. Experience architecting data solutions utilizing BI tools like Looker, Tableau, AtScale, PowerBI, or any similar tools. Strong business acumen, critical thinking, and ability to work cross-functionally through collaboration with engineering and business partners. Excellent communication and presentation skills as you'll be regularly interacting with engineering and business leadership. Previous experience in eCommerce is a plus Prior experience in machine learning and artificial intelligence is a plus 8
years of Data Architecture experience working in partnership with large data sets (5+TB highly desired) 5
years of experience leading or mentoring technical teams. Bachelor's or Masters in quantitative disciplines such as Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, or other scientific fields.
Salary Range:
$150K -- $200K
Minimum Qualification
Supply Chain & Logistics, Database Administration, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications.
The data leader will oversee the development of the Data Platform and assets across end-to-end Supply Chain management. In this role, you will own and build the long-term vision for what a world-class data platform looks like. You will build and prioritize a roadmap to get our data engineering teams to that ideal state, enabling critical decision-making by data consumers and algorithms. You will put mechanisms in place to ensure your org delivers high-quality, scalable, and performant data models and pipelines. Your mission is to empower internal business and analytics teams to efficiently leverage the data platform, and bring technology innovation and expertise to advance the data and analytics technology stack within Wayfair. Innovation:
We tackle e-commerce specific challenges in the analytics and applied data science domain such as the real-time, ever-changing nature of our data and complex business decisions. This org will own building, applying, and advancement of industry-best data engineering techniques to invent new data assets and systems that can be used to improve various experiences for our customers. You will work with our data engineers to innovate and build new data models and data pipelines, improve and enhance existing data systems as well as discover new opportunities to apply analytics and data science to solve critical problems. Collaboration/Partner Teams:
Beyond leading the team of Data Engineers you will be expected to partner cross-functionally with software engineering, business analytics, data science, and other key teams to build a high-value roadmap of innovation for your organization. You will be expected to drive forward with your own agenda and roadmap for Data Engineering while fitting in with the larger scope of Wayfair. You will ensure effective communication and high-performing teamwork across organizations, leveraging tried and tested processes and techniques from your past. You will lead data and analytics platform adoption, recommendations, aligning strategic technical decisions, and will guide engineers and product managers with your technical expertise by performing design reviews and ideation. You will mentor, coach, and grow staff with core data and advance the analytics competencies across Wayfair. What you'll do Own and develop technical architecture, design, and implementation of big data platforms and business analytics solutions to empower your stakeholders to solve problems through self-service reporting. Collaborate with your stakeholders and other engineering leaders to define and develop the data architecture roadmap for the functional area that you support. Use modern platforms and tools including Google BigQuery/Google Cloud Platform, Atscale, and Looker to design and implement appropriate end-to-end data architecture, data pipelines, and self-service reporting solutions. Act as a subject matter expert to leadership for technical guidance, solution design, and best practices within the Supply Chain data organization. Be a technical mentor to junior engineers and expose the team to new opportunities, while still being able to dependably deliver on ongoing goals. Keep current on event-driven, cloud-based, and the latest data technology trends (e.g. data mesh), work on proof-of-concept and make recommendations on the technologies based on their merit Build, lead, and mentor a team of highly talented data engineers; ensure the team is being challenged, exposed to new opportunities, and learning, while still being able to deliver on ambitious goals Lead roadmap and sprint planning using agile project management best practices Lead initiatives to enable Data Science and Machine Learning solutions Develop a technical center of excellence within the analytics organization through training, mentorship, and process innovation What You Have Advanced SQL and programming experience with Python, Java, or equivalent scripting language Experience developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale. Solid experience designing and implementing DW Architecture, OLAP technologies, star/snowflake-schemas to enable self-service reporting. Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm, or any similar tools. Solid experience in designing and implementing an event-driven data architecture, in a public cloud. Experience with big data technologies like Hadoop, Spark, Cassandra, MongoDB, or other open-source big data tools. Experience architecting data solutions utilizing BI tools like Looker, Tableau, AtScale, PowerBI, or any similar tools. Strong business acumen, critical thinking, and ability to work cross-functionally through collaboration with engineering and business partners. Excellent communication and presentation skills as you'll be regularly interacting with engineering and business leadership. Previous experience in eCommerce is a plus Prior experience in machine learning and artificial intelligence is a plus 8
years of Data Architecture experience working in partnership with large data sets (5+TB highly desired) 5
years of experience leading or mentoring technical teams. Bachelor's or Masters in quantitative disciplines such as Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, or other scientific fields.
Salary Range:
$150K -- $200K
Minimum Qualification
Supply Chain & Logistics, Database Administration, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications.
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