Description

Position Overview

We are seeking a highly experienced Senior Data Architect to lead the design and execution of large-scale data modernization initiatives, with a primary focus on migrating ETL processes from legacy systems to modern data platforms. This role requires deep technical expertise, strategic thinking, and leadership capabilities to guide teams in building scalable, efficient, and future-ready data architectures.

Key Responsibilities

• Lead the end-to-end architecture and execution of ETL migration from legacy systems to modern data platforms (e.g., cloud-based or next-generation data ecosystems).
• Define and enforce architectural standards, frameworks, and best practices for data engineering and integration.
• Design scalable, high-performance data pipelines and workflows to support enterprise-level data processing.
• Provide technical leadership and mentorship to data engineers, ETL developers, and cross-functional teams.
• Evaluate and implement next-generation ETL and data integration technologies.
• Develop automation strategies to streamline data workflows, deployment, and monitoring.
• Collaborate with stakeholders to translate business requirements into robust data architecture solutions.
• Ensure data quality, governance, security, and compliance across all data platforms.
• Drive innovation in data architecture, including adoption of modern tools, patterns, and methodologies.

Required Qualifications

• 8+ years of experience in data architecture, data engineering, or related roles.
• Strong expertise in database systems (relational and/or NoSQL) and data modeling.
• Proven experience with ETL design, development, and migration from legacy systems.
• Hands-on experience with modern ETL/data integration tools and frameworks (e.g., cloud-native pipelines, distributed processing).
• Deep understanding of large-scale data processing and performance optimization.
• Experience designing and implementing data architecture frameworks and standards.
• Strong knowledge of automation, orchestration, and CI/CD practices in data environments.
• Excellent problem-solving skills and ability to lead technical decision-making.

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, Azure, or GCP).
• Familiarity with data lake, data warehouse, and lakehouse architectures.
• Experience with streaming data technologies and real-time processing.
• Strong understanding of data governance and regulatory compliance.
• Prior experience in leading large-scale data transformation initiatives.

Work Environment

• Hybrid work model with 3 days onsite per week in Detroit, MI.
• Collaborative, fast-paced environment focused on innovation and continuous improvement.

What You’ll Bring

• Strategic mindset with the ability to align data architecture with business goals.
• Strong leadership and communication skills.
• Passion for modernizing data ecosystems and driving technical excellence

Key Skills

Education

Any Graduate