Data Cloud Architect

Kodeva LLC; Dearborn (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Kodeva LLC in Dearborn, Michigan is seeking an experienced Data Cloud Architect to design scalable data architectures, cloud data platforms, and enterprise data solutions.

You will lead data modeling, integration, ETL/ELT pipelines, and data warehouse architecture, while building data lakes and lakehouses. You will drive governance, security, and performance standards across the organization and collaborate with engineering, analytics, and business teams on enterprise data strategies.

Qualifications

• Strong data architecture and data engineering background required.
• Expertise in data modeling, data warehousing, ETL/ELT and data integration.
• Hands-on with AWS, Azure or GCP cloud data services.
• Experience with Snowflake, Databricks or equivalent platforms.
• Strong SQL, Python and distributed data processing knowledge.
• Experience with Data Lakes and Lakehouse architectures.
• Knowledge of data governance, security and data quality.

Responsibilities

• Design and implement enterprise cloud data architectures and scalable platforms.
• Lead data modeling, data integration, and ETL/ELT pipelines and data warehousing.
• Architect data lakes, lakehouses, and modern cloud data platforms.
• Design and optimize pipelines for large-scale structured and unstructured data.
• Establish data governance, quality, security, and performance standards.
• Collaborate with engineering, analytics, and business teams on data strategies.
• Drive cloud data migration and modernization best practices.

Skills

Data Architecture

Data Engineering

Data Modeling

Data Warehousing

ETL/ELT

Data Integration

AWS

Azure

GCP

Snowflake

Databricks

SQL

Python

Data Lakes

Lakehouse

Data Governance

Data Quality

Security

Job description

We are seeking an experienced Data Cloud Architect with a strong background in Data Architecture, Data Engineering, Cloud Data Platforms, and Enterprise Data Solutions. The ideal candidate must have deep, hands‑on expertise in designing scalable data architectures, building modern data platforms, and implementing cloud‑based data solutions.

Key Responsibilities

• Design and implement enterprise-level cloud data architectures and scalable data platforms.
• Lead data modeling, data integration, ETL/ELT pipelines, and data warehouse architecture.
• Architect Data Lakes, Lakehouses, and modern cloud data platforms.
• Design and optimize data pipelines for large-scale structured and unstructured datasets.
• Establish data governance, data quality, security, and performance optimization standards.
• Collaborate with engineering, analytics, and business teams to define enterprise data strategies.
• Drive cloud data migration, modernization, and architecture best practices.

Mandatory Skills

• Strong Data Architecture and Data Engineering background – Must Have
• Expertise in Data Modeling, Data Warehousing, ETL/ELT, and Data Integration.
• Hands‑on experience with AWS, Azure, or GCP cloud data services.
• Experience with Snowflake, Databricks, or equivalent modern data platforms.
• Strong SQL, Python, and distributed data processing knowledge.
• Experience with Data Lakes, Lakehouse Architecture, and Big Data technologies.
• Strong understanding of Data Governance, Security, and Data Quality.