Enterprise Lead Data Architect

Key Skills

AWS, Azure, Big Data Technology, Data Architecture, Data management, Data Modeling, Data science techniques, Data Warehousing, ETL/ELT technologies, Google Cloud Platform (GCP), IT, Leadership Skill, Metadata, NoSQL

Job Description

Responsibilities

ABOUT THE ROLE

We are seeking a highly skilled and experienced Enterprise Data Architect Lead to join our Architecture team. As the Enterprise Data Architect Lead, you will be responsible for developing and implementing an enterprise-wide data architecture strategy and ensuring the integrity, security, and availability of our organization's data assets. You will collaborate closely with cross-functional teams and stakeholders to drive data governance initiatives, define data standards, and provide technical leadership in data-related projects.

We want a visionary leader to accelerate our transformation journey! If this excites you then we want, you!

JOB DUTIES

• Develop and execute an enterprise-wide data architecture strategy that aligns with the organization's overall business goals and objectives.
• Collaborate with business stakeholders, IT teams, and data scientists to understand data requirements and translate them into scalable and sustainable data architecture solutions.
• Design and maintain the enterprise data model, data dictionaries, and data flow diagrams, ensuring consistency, accuracy, and reusability.
• Define data governance policies, standards, and procedures to ensure data integrity, security, and compliance with regulatory requirements.
• Lead the evaluation, selection, and implementation of data management tools, technologies, and frameworks to support data integration, storage, retrieval, and analysis.
• Provide technical leadership and guidance to a team of data architects, data engineers, and other data professionals, fostering a collaborative and high-performing culture.
• Collaborate with software architects and development teams to ensure data architecture principles are applied in the design and development of applications and systems.
• Identify opportunities for data consolidation, rationalization, and standardization to improve data quality, efficiency, and accessibility across the enterprise.
• Conduct regular audits and assessments of the data architecture to identify areas for improvement, address performance bottlenecks, and optimize data-related processes.
• Stay up-to-date with industry trends, emerging technologies, and best practices in data architecture, and recommend innovative solutions to enhance the organization's data capabilities.

Qualifications

What makes you an ideal candidate?

• Strong knowledge of data architecture principles, methodologies, and best practices, including data modeling, data integration, data warehousing, and data governance.
• Proficiency in data management technologies and tools such as relational databases, data lakes, ETL/ELT tools, data modeling tools, and metadata management tools.
• Experience with cloud-based data platforms (e.g., AWS, Azure (preferred) , GCP) and familiarity with modern data architecture patterns and technologies (e.g., data streaming, big data, NoSQL).
• In-depth understanding of regulatory requirements related to data privacy, data protection, and data governance in the financial services industry.
• Strong leadership skills with the ability to lead and mentor a team of data professionals and collaborate effectively with cross-functional teams.
• Excellent analytical, problem-solving, and communication skills with the ability to present complex technical concepts to non-technical stakeholders.
• Proven experience in driving data governance initiatives, establishing data standards, and ensuring compliance with industry best practices.

Experience

• Bachelor’s Degree in Computer Science, Computer, Engineering, Electrical Engineering or equivalent work experience required
• 12+ years corporate management experience with increasing architectural responsibility in large enterprises required 
• 8+ years architecting solutions in multi-cloud/hybrid-cloud environments required
• 5+ years architecting data solutions for customers required
• 5+ years working in a highly regulated business domain such as financial services or health care preferred

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Our Culture: Our team members define and shape our culture. We have an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Compensation: Competitive salary and bonus eligibility; this role is eligible for company vehicle program.

Work Life Balance: Flexible hybrid work environment, 3-days a week in office.