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 do not 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 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:
Bachelors degree in computer science, information systems, or information technology.
Overall experience of 10-15 years
8+ 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.