Enterprise Data Architect

HireRight - Nashville, TN

Full-time - Senior

Nashville, TN

Professional, Scientific, and Technical Services

About the position

The Enterprise Data Architect is responsible for designing, implementing, and maintaining the overall data architecture of the organization. This role involves creating a comprehensive data strategy to support the business's strategic goals, ensuring data consistency, integrity, and availability across various systems. The ideal candidate will have extensive experience in data architecture, data modeling, and data management, with a strong understanding of business intelligence (BI), data analytics, lakehouse architectures, and technology.

Responsibilities

• Develop and execute the enterprise data architecture strategy aligned with the organization's goals.
• Collaborate with business leaders to understand data needs and ensure the architecture supports business objectives.
• Evaluate and recommend data management tools and technologies that align with the organization's strategic vision.
• Implement master data management, reference data management, metadata management strategies to ensure data consistency, quality and security.
• Design and implement data models, data flows, and data integration strategies to support business processes.
• Develop and maintain comprehensive data architecture documentation, including data models, data dictionaries, and metadata.
• Establish data governance frameworks and best practices to ensure data quality, consistency, and security.
• Design and implement BI architecture to support reporting, analytics, and decision-making processes.
• Develop and maintain BI data models, dashboards, and reports that provide actionable insights to business stakeholders.
• Evaluate and recommend BI tools and technologies to enhance data visualization and analysis capabilities.
• Design and implement lakehouse architectures that combine the features of data lakes and data warehouses, optimizing for both structured and unstructured data.
• Utilize lakehouse platforms and tools to integrate, store, and analyze large volumes of data efficiently.
• Oversee the integration of disparate data sources and systems, ensuring seamless data flow and interoperability.
• Work with IT and development teams to implement data architecture solutions and troubleshoot issues.
• Provide technical leadership and guidance during the data integration and migration processes.
• Implement data governance policies and standards to manage data effectively and ensure compliance with regulations (e.g., GDPR, CCPA).
• Monitor data quality and performance metrics, addressing issues as they arise to maintain data integrity.
• Lead cross-functional teams to drive data-related projects and initiatives.
• Communicate data architecture strategies and solutions to stakeholders at all levels, including executives.
• Mentor and provide guidance to junior data architects and data management staff.

Requirements

• Bachelor's Degree in Computer Science, Information Systems, Data Management, or a related field; Master's degree or equivalent is preferred.
• Minimum of 10-12 years of experience in data architecture, data modeling, and data management, including 5-7 years in a leadership or senior role.
• Relevant certifications such as Certified Data Management Professional (CDMP), TOGAF, or similar are highly desirable.
• Proficiency in data modeling techniques and tools (e.g., Erwin, IBM InfoSphere Data Architect).
• Deep knowledge of relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with ETL tools (e.g., Informatica, Talend) and data integration techniques.
• Familiarity with big data platforms and technologies (e.g., Hadoop, Spark) is a plus.
• Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud) and architectures.
• Expertise in BI tools such as Tableau, Power BI, Looker, Qlik, or similar.

Nice-to-haves

• Experience with data warehousing solutions and techniques (e.g., Snowflake, Amazon Redshift, Google BigQuery).
• Experience with lakehouse technologies such as Microsoft Fabric, Synapse, Databricks, Delta Lake, Apache Hudi, or Apache Iceberg.
• Proficiency in programming/scripting languages such as SQL, Python, or R.

Benefits

• 401(k)
• AD&D insurance
• Dental insurance
• Disability insurance
• Employee discount
• Flexible spending account
• Health insurance
• Medical
• Vision
• Paid Life/AD&D Insurance
• Voluntary Life Insurance
• Short- & Long-Term Disability
• Generous Vacation and Sick Program
• 10 Paid Holidays
• Education Assistance Program
• Business Casual Attire
• Generous Referral Program
• Employee Discounts and Rewards