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.
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.
Deep, hands-on expertise in building architecture and engineering practices around any leading Data Warehouse
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
Demonstrated ability to influence C-level executives and steer large organizations without direct HR authority.
History of successfully merging multi-national or mulit-line-of-business data estates during M&A activities or massive re-organizations.
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data strategydata architecturedata governancedata integrationdata modelingdata warehousingdata quality metricsdata access policiesdata retention policiesdata sovereignty

Soft skills

influencing executivesthought leadershiparticulation of technical conceptsstakeholder managementorganizational steeringcommunication skillsnegotiation skillsstrategic planningproblem-solvingleadership

Certifications

TOGAF certification