Your New Role: 
 

The Sr. Manager, Data Engineering sits within the Enterprise Data and Shared Services organization’s Data pillar. We are building an Enterprise Data Lake which would be the center of the company’s data ecosystem to drive business strategy, innovation, improvements and solve business problems. You will manage a team of professionals to engineer data products in our Enterprise Data Lake, provide guidance to a team of data engineers on design patterns and features. 

Your Role Accountabilities: 
 

• Define the vision, requirements, and lead development of the Enterprise Data Lake focusing on the business needs 

• Recruit and lead a team of data experts. Hire the best, and be mindful of diversity in all forms as there are multiple ways to be the best. Cultivate potential within the team, and provide a pathway for people to succeed from entry level all the way to the most senior technologists. 

• Deliver data platforms that can operate at a massive scale, distributed globally, for domestic and international user bases 

• Keep data accessible and secure. Partner with security and compliance to design systems using modern technologies to make system and user access as effortless as possible within the needs to protect content, user privacy, and integrity. 

• Be responsive to engineering needs for a good portfolio of fit-for-purpose database technologies, but don’t sacrifice operability, scale, reliability, or resource fungibility across the organization. Manage the lifecycle of old and new tech. 

• Manage database enhancements and new data pipelines delivery through the team. Be on top of the backlog, as well as the current sprint’s ceremonies and tasking. Be able to represent the team’s work to project managers and senior management.  

• Manage your overall data products and platforms with documentation, automation, repeatable processes, operational tooling, and a robust suite of test capabilities to validate deployments, nonfunctional requirements, resiliency, and scale. 

• Collaborate closely with internal and matrixed departments, including but not limited to Workplace Technology & Monetization, PMO, Product, Security, Legal and Compliance teams to design, build, test and deploy Enterprise Data Lake solutions and reporting tools 

Qualifications & Experiences: 
 

• Bachelor's degree in computer science, information systems, or information technology. 

• 12+ years of experience building and scaling data platforms 

• 5+ years of experience with cloud data technologies including Snowflake, AWS, Apache Airflow 

• Passion for working with data and deriving insights to answer business questions that drive actions and decision-making 

• Experience with programming languages – SQL, Python, and AWS Glue 

• Experienced in software delivery through continuous integration (for example git, bitbucket, Jenkins, etc.) 

• Experienced in one or more automation and scheduling tools (for example Redwood, Airflow, etc.) 

• Experienced with Atlassian Suite (JIRA, Confluence) 

• Experience leveraging creative analytics techniques and output to tell a story to drive business decisions 

• Champions the capabilities and benefits of analytical data assets. Partner effectively across departments and stakeholders 

• Solid business acumen, and critical problem-solving ability, with a capacity for strategic thinking 

• Deep understanding of API connectivity and data streaming architecture 

• Comfort level with ambiguity and ability to manage multiple projects at the same time 

• Excellent communication, presentation, and customer relationship skills. 

Not Required but preferred experience: 

• Public speaking and presentation skills.