This role requires a professional who can function across the spectrum of data architecture, data engineering, and analytics enablement, while collaborating closely with business stakeholders, product owners, analysts, and cross-functional engineering teams. The candidate should be comfortable leading enterprise data initiatives, defining cloud data strategies, creating scalable and governed data models, and building reliable, high-performance pipelines for analytics and AI-ready workloads.

The Senior Data Architect will be responsible for designing, building, and operating scalable data platforms and pipelines that support enterprise analytics, reporting, automation, and downstream application use cases. This role requires strong expertise in data engineering fundamentals, distributed data processing, data modeling, and performance optimization across batch and streaming workloads. The candidate will partner closely with application teams, platform engineering, analytics, and business stakeholders to translate complex data requirements into reliable, governed, and production-ready data solutions from design through steady-state operations.

Required Qualifications

15+ years of experience in data architecture, data engineering, ETL/ELT, and enterprise data warehousing.

Strong hands-on expertise in ETL/ELT Skills, SQL, and Python.

Proven experience with cloud data platforms such as AWS, Azure, and/or GCP.

Strong understanding of dimensional modeling, star/snowflake schemas, Data Vault, Medallion architecture, and warehouse/lakehouse design patterns.

Experience building analytical datasets and supporting AI/ML-ready data platforms.

Demonstrated ability to work with business stakeholders and lead distributed engineering teams.

Excellent analytical, communication, and documentation skills.

Salary Range- $110,000-$130,000 a year