Role Overview :

We are looking for a highly experienced Data Architect having 10+ years of experience with deep expertise across multiple cloud platforms (Azure, AWS, GCP) and hands-on experience in cloud-to-cloud migration initiatives.

The ideal candidate will lead the architecture, design, and modernization of large-scale data ecosystems as organizations transition workloads between clouds.

Key Responsibilities :

Cloud & Migration Architecture :

- Design end-to-end data architectures supporting Azure-AWS, AWS-GCP, or similar multi-cloud migration paths.

- Define migration strategies for data lakes, data warehouses, ETL/ELT pipelines, real-time processing layers, and analytical platforms.

- Conduct assessment of existing data platforms and propose modern cloud-native replacements.

Solution Design & Implementation :

- Architect scalable, secure, high-performance data solutions using services such as : Azure (ADF, ADLS, Synapse, Databricks), AWS (Glue, Redshift, EMR, S3, Athena), and GCP (BigQuery, Dataflow, Dataproc, GCS).

- Drive design sessions, produce HLD/LLD, create data flow diagrams, and ensure alignment with enterprise standards.

Data Engineering Leadership :

- Guide engineering teams through redesign, code conversion, and cloud-native optimization.

Stakeholder & Technical Leadership :

- Work closely with business owners, product managers, platform leads, and engineering teams.

- Lead PoCs, evaluate emerging tools, and guide cloud-agnostic modernization roadmaps.

Soft Skills :

- Strong communication and stakeholder engagement skills.

- Ability to lead cross-functional technical teams.

- Analytical mindset, problem-solving skills, and ability to navigate ambiguity.

Skills :

- Data architecture, data governance, data integration, solution architecture