Back
Tier-1 brand, metro location, and broad skill requirements increase candidate competition.
Cloud, Databricks, and BI skills are highly transferable across industries.
Extensive mandatory tech stack and architecture experience make shortlisting highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect and own the design of end-to-end data and analytics solutions spanning data lakes, warehouses, BI, ETL pipelines, and AI-driven products within the Data Foundation ecosystem.
Drive scalable, modular, and cost-efficient architectures on cloud platforms (Azure and GCP), ensuring AI-readiness and enterprise data governance compliance.
Lead technical alignment with business stakeholders to translate requirements into impactful data products with measurable business outcomes.
Strong hands-on experience with Python, Databricks (Delta Lake, Unity Catalog), SQL/PostgreSQL, and Apache Airflow.
Proven expertise in GCP architecture and Power BI development with semantic modeling and optimization skills.
Experience designing cloud solutions across Azure and Google Cloud including data platform and AI architectures.
Work Experience Required: Not explicitly mentioned in the JD.
Technical leader proficient across multi-cloud data ecosystems (Azure and GCP) with hands-on engineering and architecture experience.
Experienced in AI/ML and agentic AI frameworks, capable of driving adoption of generative AI solutions in enterprise contexts.
Adept at translating complex business needs into modular, governed, scalable data and AI architectures with measurable impact.