Design and implement enterprise-wide data strategies and architectural frameworks to optimize data integrity, accessibility, and usability.
Lead the development of data governance policies, standards, and compliance protocols, ensuring alignment with regulatory requirements.
Collaborate with cross-functional stakeholders to derive actionable intelligence from organizational data assets. Facilitate Data and Analytics Steering Committee.
Architect scalable and innovative data integration and management platforms, leveraging best-in-class solutions.
Oversee and enhance core data infrastructure and associated tools to support seamless business operations.
Create clear Operating principles to drive strategic adoption of the Enterprise Data Warehouse as a single, governed source of truth.
Ensure robust data security practices and privacy controls are implemented and maintained across all data environments.
Champion data-driven decision-making initiatives, aligning insights with strategic business goals.
Lead, develop, and mentor a team of data experts, fostering professional growth and technical excellence.
Cultivate an inclusive and collaborative workplace culture, promoting both individual success and team cohesion.
Apply advanced analytical and problem-solving skills to address intricate data architecture challenges.
Deliver high-impact presentations and communicate technical concepts effectively to diverse executive and business audiences.
Demonstrate knowledge in SAP systems and their alignment with critical business functions and process optimization.
Possess hands-on exposure to Generative AI and ML tools shaping industry advancements.

Requirements

Bachelor’s or a Master’s Degree in Computer Science, Engineering, Applied Mathematics or related field with 10+ years of experience in Data Architecture or related fields.
Experience in data management, integration, and architecture with written communication skills and the ability to create straightforward documentation.
Experience with Enterprise scale Data Warehouses such as Snowflake.
Demonstrated experience with ETL/ELT processes, data pipelines and data replication with tools such as IICS, FiveTran.
Hands-on experience with big data technologies, SQL and API ecosystems.
Deep knowledge of data engineering and data modeling concepts for both relational database management systems (RDBMS), schema-less databases, and data lakes.
Expertise in data governance, data classification, security protocols, and compliance standards.

Benefits

employer-subsidized Medical, Dental, Vision, and Life Insurance
Short-Term and Long-Term Disability
401(k) match
Flexible Spending Accounts
Health Savings Accounts
EAP
Educational Assistance
Parental Leave
Paid Time Off (for vacation, personal business, sick time, and parental leave)
12 Paid Holidays

Applicant Tracking System Keywords

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

Hard Skills & Tools

data architecturedata managementdata integrationETLELTdata pipelinesdata replicationbig data technologiesSQLdata modeling

Soft Skills

leadershipcommunicationproblem-solvingcollaborationmentoringpresentation skillsstrategic thinkinginclusive cultureteam cohesionanalytical skills