What are the responsibilities and job description for the Data Architect position at Cordova?
Job Description
Job Description
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.
