Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Data Architect will design, build, and evolve the enterprise data platform and data integration pipeline, supporting a modern, governed, cloud-based data ecosystem for all Coverys functions. This role defines the architectural blueprint, establishes data modeling standards, and guides the development of scalable data pipelines in Snowflake, ensuring data accuracy, trust, and availability for advanced analytics and decision-making.

Responsibilities

• Design and maintain enterprise data architecture aligned to business domains.
• Ensure data architecture design aligns with enterprise architecture standards.
• Develop canonical and semantic data models for analytics, reporting, and operational use cases.
• Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation.
• Partner with business stakeholders to translate requirements into scalable data structures.
• Build ELT/ETL pipelines using modern cloud-native tools and frameworks.
• Lead the migration from legacy batch processes to automated ingestion patterns.
• Implement data quality rules, validation frameworks, and reconciliation logic.
• Optimize Snowflake workloads for performance, cost, and reliability.
• Design and oversee medallion-style data layers (bronze/silver/gold).
• Work with Data Governance to establish data dictionaries, lineage, classification, data quality, and stewardship models.
• Ensure consistent use of canonical identifiers across systems and domains.
• Promote data-as-a-product principles and guide teams toward reusable, scalable data assets.
• Partner with business analysts, data scientists, actuaries, and analytics teams to support data needs.
• Mentor SQL developers and analytics engineers.
• Mentor and coach the data engineering team and lead the development of pipeline and architecture platforms.
• Provide architectural oversight for major data initiatives across the enterprise.
• Support evolving business needs.

Requirements

• Bachelor’s degree in computer science or relevant field from an accredited college or university.
• 3-5 years of experience in data architecture, data engineering.
• Strong data modeling expertise (conceptual, logical, physical).
• Hands-on experience designing enterprise data architectures.
• Advanced ELT/ETL development experience (preferably cloud-native).
• Deep experience with cloud data warehouses, ideally Snowflake.
• Proficiency in Python for data engineering and automation.
• Strong SQL skills and experience with large-scale data processing.
• Experience with data quality frameworks, metadata management, and lineage.
• Understanding of modern data patterns (CDC, event-driven ingestion, APIs, streaming, orchestration).
• Experience in the insurance industry, preferred.
• Snowflake certification, a plus.
• Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar.
• Knowledge of MDM, canonical modeling, and governance frameworks.
• Experience with Power BI or other BI tools.
• Qualified candidates must be eligible to work in the US without sponsorship or restriction.

Skills

• Data Architecture
• Data Engineering
• Data Modeling
• ELT/ETL
• Snowflake
• Python
• SQL
• Data Quality Frameworks
• Metadata Management
• Lineage
• CDC
• Event-driven ingestion
• APIs
• Streaming
• Orchestration
• MDM
• Canonical Modeling
• Governance Frameworks
• Power BI

Experience Level

• 3-5 years of experience

Education Level

• Bachelor’s degree in computer science or relevant field

Salary/Compensations

• $96,650 - 130,755

About the Company

• Coverys is the right company for you if you're a caring and customer-focused individual who enjoys working with passionate team members.