Data Manager

Cornerstone Capital Bank; Englewood (CO); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k)

Performance-based bonus

Paid parental leave

Job summary

Cornerstone Capital Bank is seeking a highly skilled Data Manager in Englewood, Colorado. The role involves leading the development and management of data infrastructure, focusing on data modeling and transformations using dbt while overseeing a team of 7-8 professionals.

Successful candidates will have over 5 years of experience in data management, proficiency in SQL, and expertise in cloud data warehouses. Competitive salary and comprehensive benefits are offered.

Qualifications

• 5+ years of experience in data management or engineering roles.
• Proven experience managing a distributed team.
• Experience with cloud platforms such as AWS, GCP, or Azure.

Responsibilities

• Lead the design and development of data models and workflows using dbt.
• Manage and mentor a distributed team of data professionals.
• Ensure data accuracy, integrity, and governance across systems.

Skills

Data management

Leadership

SQL proficiency

Cloud data warehouses

Data modeling

DBT expertise

Communication skills

Education

Bachelor's or Master's degree in computer science or related field

Tools

dbt

Snowflake

BigQuery

Azure

Git

Job description

Cornerstone Servicing, a division of Cornerstone Capital Bank, is a best‑in‑class mortgage servicer with a reputation for amazing service, customer satisfaction, employee retention and happiness! We employ people who are passionately committed to Cornerstone's Mission, Vision & Core Convictions.

We honor God by using our talents to make a positive difference in the lives of our Team Members, Clients, Shareholders, Communities, and the People who provide services to us.

Position Summary

Cornerstone Servicing is seeking a highly skilled and motivated Data Manager to lead the development and management of our data infrastructure within the Servicing Technology group. This role focuses on robust database development, data modeling, and transformation workflows using dbt (Data Build Tool) and other applications. The Data Manager will be responsible for overseeing a team of 7-8 data professionals, including a mix of onshore and offshore talent, ensuring seamless collaboration and high‑quality data delivery across the organization.

• Location: Onsite in Englewood
• Compensation: $130-160k

Key Responsibilities

• Lead the design, development, and maintenance of scalable data models and transformation workflows using dbt.
• Manage and mentor a distributed team of 7-8 data engineers and analysts.
• Oversee development and performance tuning of databases and data warehouses, ensuring efficiency and reliability.
• Collaborate closely with the Director - Servicing Analytics and cross‑functional stakeholders to align data infrastructure with business goals.
• Ensure data accuracy, integrity, and governance across the servicing technology domain.
• Establish and enforce standards for data modeling, documentation, testing, and version control.
• Guide the team in implementing best practices for ELT pipelines and cloud‑based data solutions.
• Support data integration and migration efforts between systems and platforms.
• Monitor system performance and proactively implement improvements to enhance scalability and reduce latency.
• Ensure programs to notify downstream users are in place and tested to proactively alert end users of any issues of impact.

What you'll need to be successful

• Bachelor's or Master's degree in computer science, Data Engineering, Information Systems, or a related field. Years of experience can replace an Advanced degree.
• 5+ years of experience in data management or engineering roles, including team leadership.
• Proven experience managing a distributed team, including offshore resources.
• Hands‑on expertise with dbt and modern data transformation workflows.
• Strong proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Deep understanding of data architecture, data modeling, and ETL pipelines. Preference for experience with dbt.
• Familiarity with version control tools like Git and workflow orchestration tools.
• Excellent organizational, communication, and people management skills.
• Experience with cloud platforms (AWS, GCP, or Azure). Preference for Azure experience.
• Familiarity with data governance, compliance standards, and security best practices.
• Knowledge of data cataloging and metadata management tools.

What we offer

We offer a competitive salary, medical, dental, and vision benefits, as well as accidental death, long‑term disability, short‑term disability, FSA, HSA, 401(k), basic life, voluntary life, and paid parental leave benefits, and a performance‑based bonus based on position and department.

Equal Opportunity Employer. Protected Veterans / Individuals with Disabilities. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.