Data Architect - Fort Worth, United States - First Command Financial Services
Description
How Will Your Role Impact First Command?
First Commands data architecture is the cornerstone of our comprehensive data strategy. We are on the lookout for a skilled Enterprise Data Architect to enhance our business operations and elevate our customer experience by executing this strategy. The ideal candidate will design cutting-edge, cloud-based data solutions that adhere to the highest standards of quality, scalability, resilience, and security.
In addition to data modeling, the role involves the creation and ongoing management of diagrams that map out data flow across the organization, as well as compiling comprehensive data source inventories. A collaborative approach is essential, as you will work closely with both business stakeholders and technology teams to comprehend their requirements and deliver tailored data solutions that are timely, accurate, and accessible to the appropriate parties.
What Will You Be Doing?
Working in synergy with business domain leaders, product owners/managers, enterprise architects, and key functional leads to provide superior data solutions.
Converting business needs into clear and intuitive conceptual and logical data models, ensuring they are accessible and comprehensible to all stakeholders.
Designing comprehensive data models to serve as the foundation for seamless and integrated data and analytics platform.
Developing sophisticated application database data models, crafting high-level enterprise data flow diagrams, and compiling a comprehensive inventory of data sources to enhance organizational data management.
Identifying and writing the technical enabler features to build solid foundation and improve overall performance.
Working in tandem with Data Governance to meticulously catalog and delineate data lineage, ensuring transparency and traceability across the organization.
Analyzing resource utilization within data solutions and proposing improvements to optimize efficiency.
Troubleshooting performance problems, tuning, and optimizing data solutions.
Understanding and adapting to changing business priorities and technological advancements.
Steering innovation and directing teams towards the implementation of forward-thinking solutions.
Building and maintaining systems and architectural documentation.
Suggesting enhancements for technical processes and procedures.
Assessing, creating prototypes, and endorsing new data technologies and platforms.
What Skills/Qualifications Do You Need?
Education
Minimum bachelor's degree required in computer science or relevant areas.
Master's degree is preferred in computer science or relevant areas.
Work Experience
Minimum 4 years of relevant applied experience in data and analytics.
Certifications
Relevant data certifications in cloud technologies are highly desirable.
Required Knowledge, Skills, and Abilities
Required
Expertise in Modern Data Architecture techniques and Cloud-based Data Technologies.
Expert experience in at least one of the modern ETL tools such as Data Factory, Matillion, dbt, etc
Possesses extensive expertise in at least one of the contemporary databases technologies such as SQL Server, Oracle, DB2, etc.
Demonstrated technology and personal leadership experience in architecting, modeling and successfully building highly scalable, secure, and resilient data solutions.
Strong experience in dimensional data modeling techniques to create a robust data platform for data analytics.
Applied experience in building different data models (entity, 3 NF, Data Vault, etc.) for application database design.
Hands on experience in creating data flow diagrams and inventory of data sources.
Proven experience in Relational, Data warehouse, Master Data Management, reporting and analytical technologies.
Hands on experience in working with cloud data services such as Data Lake, SQL, etc.
Expertise in data analytics using any one of the cloud-based services such as Power BI, Tableau, Qlik, ThoughtSpot, etc.
Proficiency with DevOps principles and processes.
Strong experience in resource utilization and providing the improvements for performance and cost optimization.
Preferred
Solid experience in Agile methodologies (Scrum or SAFe frameworks).
Experience in any NoSQL database is highly desirable.
Proficiency in CRM systems such as Salesforce, Dynamics 365, etc.
Knowledge in Data Science and Artificial Intelligence.
Experience in streaming or real-time analytics.
Familiarity with scripting languages such as python, and/or git bash.
Financial services industry experience or other highly regulated industry experience.