Principal III, Enterprise Data Architect

About the position

The Enterprise Data Architect is responsible for developing, implementing, and managing data strategy for the organization that is in line with business strategy and processes. This includes developing and maintaining high level design documents of how data integrates within the ecosystem, as well as defining how data will be stored, consumed, coordinated, and managed across various data applications/systems/tools. The data types and stores include structured and unstructured data and applicable data stores.

Responsibilities

• Develops and maintains High Level Design documents.
• Supports architecture-related aspects of solution development.
• Solves problems by analyzing the data and using data technologies.
• Handles database on a large scale and analyzes the data to make the right business decision.
• Works closely with teams to collect and translate information requirements into data and develop data-centric solutions.
• Evaluates and recommends data management tools, technologies, and solutions.
• Develops and implements a comprehensive data strategy that aligns with business goals.
• Designs and provides guidelines for data architecture framework, ensuring scalability, flexibility, reliability, performance, and security.
• Acts as the architect for enabling an end-to-end analytics journey.
• Establishes data management processes, standards, and guidelines, including disaster recovery and business continuity for data systems.
• Responsible for creating current and to-be state consumer data models.
• Provides guidelines and oversees data integration patterns and activities to ensure seamless data flow between systems.
• Provides leadership to the delivery teams on 'what to do' and 'how to do it'.
• Stays current with industry trends and advancements in data architecture and management.
• Ensures that industry accepted data architecture principles and standards are integrated and followed.
• Accountable for ensuring that the projects or programs adhere to delivery best practices and principles.
• Plays a key role on the leadership team building the advisory practice, assets, and providing thought leadership.
• Cascades engagement-specific objectives and uses these to drive performance evaluation across the delivery team.

Requirements

• Strong verbal, written, and presentation skills and ability to lead.
• Experience with cloud-based data platforms (e.g., Azure, Google, AWS, OCI).
• Good knowledge of different data stores (relational, non-relational, graph, vector) and Data Lake/Big Data.
• In-depth knowledge of data architecture principles, data modeling, and database design.
• Proven experience as an Enterprise Data Architect or similar role.
• Strong knowledge of standard methodologies, best practices, and procedures within a Big Data environment.
• Experience designing architectures that can incorporate data from multiple data sources.
• Experience with data integration, data streaming, and ETL processes.
• Familiarity with Data Science and Machine Learning/AI pipelines.
• Strong analytical and problem-solving skills.
• Familiarity with data governance, data quality, and data security practices.

Nice-to-haves

• Preferred: Cloud data architect related certificates (e.g., Azure, Google, AWS)
• Certification in data architecture/data management (e.g., TOGAF, DAMA) modeling tools a plus.

Benefits

• Group Health Programs including Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D, Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP).
• 401(k) plan
• Wellness Incentive Program
• Employee Stock Purchase Plan (ESPP)
• Supplemental Life/Critical Illness/Hospitalization/Accident Insurance
• Pet Insurance
• Paid time off including Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting.