Enterprise Cloud Data Architect

Coverys; New Jersey; On-site; USD 122,000 - 165,000; Full time

Job summary

Coverys is seeking a Lead Data Architect to shape our data platform and drive scalable, cloud-native pipelines in Snowflake. You will establish modeling standards, governance, and data quality while partnering with underwriting, claims, actuarial, and analytics teams.

The role requires hands-on leadership, experience in ELT/ETL, and a strong background in Python, SQL, and modern data patterns. A focus on data as a product and collaboration with senior leadership are essential.

Qualifications

• Bachelor’s degree in computer science or relevant field required.
• 5–10 years of experience in data architecture and data engineering, including technical leadership.
• Strong data modeling expertise (conceptual, logical, physical).
• Hands‑on experience designing enterprise data architecture.
• Advanced ELT/ETL development experience (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.
• Mentoring data engineering teams.
• Communicate designs clearly to the senior leadership team.
• Qualified candidates must be eligible to work in the US without sponsorship or restriction.

Responsibilities

• Lead the design and maintenance of the enterprise data architecture aligned to business domains.
• Ensure data architecture aligns to enterprise standards and partners with Enterprise Architecture.
• Develop canonical and semantic data models for analytics, reporting, and operations.
• Define standards for data modeling, quality, naming, metadata, lineage, and docs.
• Partner with stakeholders to translate requirements into scalable data structures.

Skills

Data architecture

Data engineering

Python

SQL

Data modeling

ELT/ETL development

Data quality

Metadata management

lineage

CDC

APIs

Streaming

Orchestration

dbt

Airflow

Azure Data Factory

Power BI

Education

Bachelor’s degree in computer science or relevant field

Tools

dbt

Airflow

Azure Data Factory

Power BI

Snowflake

Job description

Coverys is seeking a Lead Data Architect to shape our data platform and drive scalable, cloud-native pipelines in Snowflake. You will establish modeling standards, governance, and data quality while partnering with underwriting, claims, actuarial, and analytics teams.

The role requires hands-on leadership, experience in ELT/ETL, and a strong background in Python, SQL, and modern data patterns. A focus on data as a product and collaboration with senior leadership are essential.