Lead and mentor a high-performing data engineering team, fostering technical excellence and professional growth while ensuring delivery of scalable, modern data solutions aligned with business priorities.
Partner with the CDO team and data product leaders to define and execute the vision for a AWS-based data platform that enables enterprise-wide self-service, unlocking data for AI, analytics, and innovation.
Drive architectural decisions and establish best practices for data ingestion, transformation, and distribution frameworks that accelerate time-to-insight for data producers and consumers.
Champion adoption of emerging technologies such as Agentic AI and Generative AI, integrating advanced capabilities into data workflows to enhance user experience and position the organization as 'AI-Ready.'
Ensure operational excellence and reliability by proactively addressing complex data engineering challenges, implementing robust quality controls, and preventing production incidents.

7-10 years’ experience ‘hands-on’ leading highly technical data-centric software engineers, preferably in financial services.
Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift, S3, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge). AWS Certification strongly preferred.
Experience applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q).
Strong Python for data engineering (Pandas, Spark/PySpark) and API Development (FastAPI or similar).
Design and build high-performance REST/GraphQL APIs with optimized query patterns, pagination, caching, and schema design to ensure low-latency, performant reads at scale.
Build ETL/ELT pipelines for batch and streaming; Kafka/MSK with schemas (Avro/JSON) and delivery semantics.
Optimize performance of object-based and relational datastores.
Design applications with microservices and containerization mindset with ‘decoupling’ architectural principles.
Caching with Valkey/Redis: TTL strategies, invalidation, key design.
CI/CD and IaC with GitHub, Git/GitHub workflows, ArgoCD.
Security and reliability: IAM, KMS, secrets, VPC networking, observability (OpenTelemetry), SLOs, cost governance.
Ability to solve complex data-driven requirements and triage towards defects and production bugs.
Experience in leading evaluation of new technologies and methodologies to enhance efficiency. (“Buy” vs “Build”).

Work-Life Balance First: 40% in-office monthly stay connected while keeping flexibility.
A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity.
Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals.
Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing.
Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively.
Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe.
Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community.

Data Engineer

Key skills