Responsibilities
- Formulate the enterprise-wide data strategy to align with long-term business objectives and forecast future technological requirements.
- Design scalable data architectures that integrate heterogeneous data sources.
- Ensure all designs adhere strictly to enterprise security and compliance standards.
- Author the policies that govern data access, retention, and sovereignty globally.
- Establish the enforcement mechanisms
- Implement rigorous data governance frameworks.
- Define ownership, stewardship, and quality metrics for data residing in disparate lakes.
- Audit the current portfolio of data tools.
- Identify redundancies and execute plans to decommission inferior software, thereby reducing technical debt.
- Analyze existing data silos.
- Engineer integration patterns that expose trapped data to the broader enterprise without compromising integrity.
- Confront business leaders with technical realities.
- Articulate the cost of sprawl and the value of a unified data model.
Requirements
- Minimum 12 years in enterprise technology or data, with at least 5 years dedicated to data architecture.
- Data Warehousing Methodologies: Both TOGAF certification and demonstrated thought leadership in convincing executives to invest in the formalism of full data lifecycle specific to Data Warehousing engineering and governance.
- Technical Leadership: Deep, hands-on expertise in building architecture and engineering practices around any leading Data Warehouse Database Strategy: Proven mastery in rationalizing complex estates containing disparate relational and non-relational database system including proven track record of operationalizing data governance in complex environments.
- Leadership: Demonstrated ability to influence C-level executives and steer large organizations without direct HR authority.
- Complex Rationalization: History of successfully merging multi-national or mulit-line-of-business data estates during M&A activities or massive re-organizations.
Nice to Have
- Recent, hands on technical experience with any of the following: Snowflake, AWS, Informatica, dbt, Datahub, and Presto, Datahub/Acryl
- Master’s degree in a quantitative field strongly preferred
Benefits
- competitive pay
- generous time off
- ample parental and wellness leave
- healthcare
- a retirement savings program
Additional Information
- Approximately 10% travel is anticipated to help you connect in-person in a meaningful way.
- Applications for this role are intended to be accepted February 20th, but may change based on business needs.
