Back
Strong Tier-1 brand and metro location but high seniority and niche data platform skills moderate competition.
Data platform skills transfer across industries, though financial-market data experience moderately increases specificity.
Explicit 10+ years, mandatory data platform, cloud, and orchestration expertise enforce high shortlisting strictness.
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 expanding Data Platform focusing on storage, data access, orchestration, and acquisition tooling.
Provide hands-on architectural oversight, develop future state architecture and govern Architecture Decision Records (ADRs) to ensure scalable, cohesive platforms aligned with enterprise standards.
Mentor senior engineers, drive technology selection, and incorporate AI-driven capabilities including LLMs and generative AI for data access enhancement.
10+ years of software engineering experience with deep expertise in data engineering and large-scale data platforms.
Proven experience as a software architect or principal engineer designing data systems and platforms.
Hands-on experience with ETL/ELT, data pipeline orchestration tools (e.g., Apache Airflow, Prefect, Dagster).
Strong cloud infrastructure experience, particularly AWS (S3, Glue, EMR, Lambda, Step Functions).
Experienced in cloud-based data lakehouse architectures and platforms like Databricks or Snowflake with strong Python proficiency.
Strategic thinker able to translate architectural vision into actionable roadmaps and influence cross-organizational stakeholders.
Background in mentoring senior technical staff and driving adoption of architectural governance and best practices in large data engineering environments.