Senior Data Architect

Living Our Values
All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.

Why Join Us

• Career Growth: Advance your career with opportunities for leadership and personal development.
• Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.
• Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Total Rewards
Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.

A Day In The Life
As a Senior Data Architect within the Data and Analytics organization, you will play a critical role in designing, implementing, and overseeing a robust and scalable data architecture. This position demands a strategic mindset and a deep understanding of data management, modeling, and integration to enhance TFG's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs.

As a Senior Data Architect you will:

• Design and develop comprehensive data architecture solutions, including data models, metadata, and data integration frameworks, ensuring scalability and reliability.
• Establish data standards, policies, and procedures to ensure data quality, security, and compliance with relevant regulations.
• Collaborate with data engineers and data scientists to integrate data from various sources into a cohesive data architecture, supporting operational and analytical applications.
• Oversee the implementation of data storage solutions (SQL, NoSQL, Data Lakes) and ensure their optimization for performance and accessibility.
• Lead the design and implementation of ETL/ELT processes and data pipelines using technologies such as Databricks, Apache Spark, Hadoop, and Kafka.
• Utilize cloud environments like AWS (preferred) or Azure to leverage services for efficient data handling and processing.
• Ensure compliance with data governance and security policies by implementing best practices in data encryption, masking, and access controls.
• Stay abreast of emerging technologies and methodologies in data architecture, advocating for and implementing improvements to the data ecosystem.
• Provide technical leadership and mentorship to junior data architects and data engineers, fostering a culture of continuous improvement and innovation.

What We Need From You

• Bachelor's or master's degree in Computer Science, MIS, or related field, or equivalent combination of education and experience.
• 10+ years of experience in data architecture, data modeling, and database design, with a proven track record in designing and operating large-scale data systems.
• Expertise in data integration and ETL/ELT workflows, with hands-on experience in tools such as Apache Airflow and Talend.
• Fluent in Infrastructure-as-Code paradigms (e.g., Terraform).
• Comprehensive knowledge of data platforms and services like Databricks, Dataiku, and AWS native data offerings.
• Solid experience with big data technologies (Databricks, Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage.
• Proficient in SQL and programming languages relevant to data architecture (Python, Java, Scala).
• Hands-on RDBMS experience (data modeling, analysis, programming, stored procedures).
• Familiarity with machine learning model deployment and management practices is a plus.
• Fluent with CI/CD workflows and automation.
• Strong communication skills, capable of collaborating effectively across technical and non-technical teams.
• Databricks Certified Associate Developer for Apache Spark, AWS Certified Solutions Architect, or other relevant certifications. Preferred

Travel Requirements
Minimal travel is required for this position (up to 20% of the time and on a domestic basis).

Join Us
The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at TalentAcquisition@friedkin.com. We celebrate diversity and are committed to creating an inclusive environment for all associates.

We are seeking candidates legally authorized to work in the United States, without Sponsorship.

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