remoteonsite
Data Architect - Tiger Analytics
Software Engineer
Seasoned Data Architect to lead enterprise‑scale cloud and data modernization, designing data platforms, migration strategies, and analytics solutions for Fortune‑100 clients.
About the role
Key Responsibilities
- Define and implement end‑to‑end data architecture strategies across multi‑cloud environments (AWS, Azure) to support large‑scale migration programs.
- Design logical and physical data models, data warehouses, and lakehouse solutions (e.g., Snowflake, Redshift) that meet performance, scalability, and security requirements.
- Lead the creation of ETL/ELT pipelines using Python, SQL, and orchestration tools, ensuring data quality and governance throughout the migration lifecycle.
- Collaborate with enterprise architects, data engineers, and business stakeholders to translate business needs into technical roadmaps and migration plans.
- Establish best practices, standards, and documentation for data integration, metadata management, and cloud cost optimization.
Requirements
- 5+ years of experience designing and implementing data architectures in cloud environments (AWS or Azure).
- Strong expertise in data modeling, data warehousing, and building scalable ETL pipelines using Python and SQL.
- Hands‑on experience with cloud data platforms such as Snowflake, Redshift, or Azure Synapse.
- Proven track record leading enterprise data migration or modernization initiatives for large organizations.
- Excellent communication skills and ability to work cross‑functionally with technical and business teams.