Lead Enterprise Data Architect

White Cap

103d

About The Position

A position at White Cap isn’t your ordinary job. You’ll work in an exciting and diverse environment, meet interesting people, and have a variety of career opportunities. The White Cap family is committed to Building Trust on Every Job. We do this by being deeply knowledgeable, fully capable, and always dependable, and our associates are the driving force behind this commitment. Responsible for designing, implementing, and managing the data architecture of the organization. Develops and maintains the data infrastructure to align with business goals, industry standards, and ensures efficient data management and analysis. Collaborates with senior leadership, research, marketing & sales, architects, and developers to design, build, and deploy data warehouse solutions and reporting tools to meet analytical needs.

Requirements

• Typically requires a PhD degree and 15+ years of specialized experience in a related field OR MS/MA and generally 10+ years of experience in a related field.
• Maintains a deep level of technical expertise that drives business and executive decisions.

Nice To Haves

• Hands-on experience with at least 3 of the following: Data Management, Data Architecture, Data Migrating, Master Data Modelling, Data Quality Management, Information Governance - REQUIRED
• ETL/Data integration/Streaming – Databricks, Python, Spark, Kafka, Azure, Hadoop - REQUIRED
• Cloud Data Lake/ Lakehouse/ Data Mesh – Databricks, Azure, DBx - REQUIRED
• AWS, Kubernetes, Postgres, MongoDB - Desired
• Must have a technical background and be able to lead data integration, data modeling, MDM workflow, etc. through a firsthand understanding of the work.
• A deep understanding of data lifecycle (data profiling, data quality, master data management, lake house/data mesh/marts/staging/operation data stores)
• Information Delivery – Power BI, Google Analytics, Tableau, Quick Sight, AI/BI - Nice to have

Responsibilities

• Develop and execute data strategy aligned with organizational objectives by collaborating with stakeholders to understand business goals.
• Define and document data architecture principles, standards, and guidelines to ensure efficient data management.
• Design, create, and maintain conceptual, logical, and physical data models to meet business requirements including data modeling, governance, warehouse aggregation, and BI tooling.
• Develop and manage an enterprise-wide data dictionary and metadata repository efficiently to support diverse data needs across our cutting-edge data platform.
• Evaluate, select, implement, and manage database technologies based on performance, scalability, and business needs.
• Stay informed about emerging technologies, tools, and trends in data architecture to enhance platform scalability, resilience, and reliability, and collaborate across the team to implement innovative solutions.
• Design, implement, and maintain data integration processes, including ETL (Extract, Transform, Load) processes, to ensure seamless data flow between systems.
• Establish and enforce data governance policies and procedures, define data quality standards, monitor adherence, provide training on data architecture best practices.
• Create and maintain documentation for data architecture and related processes.
• Implement and enforce data security measures to protect sensitive information.
• Ensure compliance with data privacy regulations and industry standards.
• Optimize database performance to ensure efficient data access and processing, utilizing exploratory analytics and data mining to drive innovative data utilization strategies.
• Troubleshoot and resolve data-related performance issues to maintain optimal system functionality.
• Facilitate collaboration among cross-functional teams, including developers, analysts, and business stakeholders, to design scalable systems.
• Effectively communicate complex technical concepts to non-technical stakeholders to ensure understanding and alignment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees