Data Architect

C

Cordova

Data Architect

Omaha, NE
Full Time
Paid
  • Responsibilities

    Position Title: Data Architect
    Department:
    Employee Status: Full Time

    Location: Omaha, NE

    Purpose:

    A rapidly growing US-based company in the property and casualty insurance sector seeks a Data Architect to lead the strategy, design, and implementation of their enterprise data systems. This role is crucial for ensuring their data infrastructure supports growth and analytics initiatives.

    Responsibilities:

    • Strategy & Planning:

      • Develop and execute the enterprise data management strategy aligned with business goals.

      • Design scalable, high-performance data infrastructure (data lakes, warehouses, pipelines).

    • Governance & Compliance:

      • Define and enforce data governance frameworks, policies, and standards.

      • Ensure data integrity, security, and compliance with relevant regulations.

    • Collaboration & Implementation:

      • Collaborate with cross-functional teams (engineering, analytics, IT, business units).

      • Lead the development and optimization of data models for analytics and AI/ML.

      • Evaluate and implement cloud-based data solutions.

      • Partner with IT and security teams to establish data security and privacy best practices.

      • Oversee the implementation of real-time and batch data processing solutions.

    • Leadership & Management:

      • Mentor and develop a high-performing data management team.

      • Manage vendor relationships and assess third-party data solutions.

      • Drive continuous improvement of data systems, researching and adopting emerging technologies.

      • Lead large-scale data transformation and migration projects.

    • Analysis & Reporting:

      • Analyze data and provide data driven decision making support.

    Work Requirements, Experience, Education, and Skills:

    • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred).

    • 10+ years of experience in data solutions, data engineering, or enterprise data management (5+ years in leadership).

    • Expertise in cloud-based data solutions (AWS, Azure, Google Cloud).

    • Deep understanding of data modeling, database design, and ETL/ELT processes.

    • Experience with modern data platforms (Snowflake, Databricks, BigQuery, Redshift).

    • Strong knowledge of data governance, security, and compliance frameworks.

    • Proficiency in SQL, Python, Spark, and data engineering tools.

    • Strong communication, leadership, project management, and problem-solving skills.

    • Ability to communicate complex data concepts to both technical and non-technical stakeholders.