Back
Tier-1 brand and metro Hyderabad increase candidate interest, but seniority and specialized skills limit applicant density.
Core data platform skills transfer across industries, though preferred market-data/finance experience raises domain specificity.
Explicit 10+ years, deep data-platform expertise and mandatory cloud/databricks/orchestration skills create strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead architectural vision and strategy for FactSet's scalable Data Platform, including cloud-based infrastructure, data lakehouse technologies, and orchestration frameworks.
Provide technical leadership and guidance across infrastructure teams on storage, data access, orchestration, and data acquisition tooling, ensuring alignment with enterprise architecture.
Develop and maintain future state architecture, establish architectural governance (ADRs), and mentor senior engineers to drive adoption of best practices and AI-driven capabilities in data services.
10+ years software engineering experience with deep expertise in data engineering, data platforms, and data infrastructure.
Proven track record as a software architect or principal engineer designing large-scale data systems/platforms.
Hands-on experience with ETL/ELT systems and data pipeline orchestration tools such as Apache Airflow, Prefect, or Dagster.
Strong experience with AWS cloud infrastructure (S3, Glue, EMR, Lambda, etc.), and proficiency in Python for production data systems.
Experienced in translating strategic architectural vision into actionable technical roadmaps with governance via Architecture Decision Records.
Ability to influence and align diverse technical and business stakeholders across multiple teams and organizations.
Deep domain knowledge of modern data lakehouse architectures, AI/ML integration (LLMs, generative AI), and advanced data governance and metadata management practices.