Fitch Group is hiring an Engineering Manager to be a hands-on lead and mentor for a high-performing data engineering team based in Monterrey, Mexico. You will partner closely with the Chief Data Office to define and execute the vision for an AWS-based data platform that enables enterprise-wide self-service for AI, analytics, and innovation.
What You'll Do
- Hands-on lead and mentor a high-performing data engineering team, fostering technical excellence and professional growth.
- Ensure 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 an AWS-based data platform.
- Drive architectural decisions and establish best practices for data ingestion, transformation, and distribution frameworks.
- Champion adoption of emerging technologies such as Agentic AI and Generative AI, integrating advanced capabilities into data workflows.
- Ensure operational excellence and reliability by proactively addressing complex data engineering challenges, implementing robust quality controls, and preventing production incidents.
- Lead evaluation of new technologies and methodologies to enhance efficiency ('Buy' vs 'Build').
What We're Looking For
- 7-10 years of hands-on experience leading highly technical data-centric software engineers.
- Experience in financial services, supporting Data Lakehouses (e.g., AWS, Databricks, Snowflake), data virtualization solutions (e.g., Starburst), modern data catalogs & data quality capabilities (e.g., Collibra), and Master Data Management (e.g., Informatica).
- Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge).
- 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).
- Ability to design and build high-performance REST/GraphQL APIs with optimized query patterns, pagination, caching, and schema design.
- 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 defects and production bugs.
- Familiarity with technology solutions and tools including data governance and catalog solutions, data platform and lake(house) architectures, and data mesh and virtualization tools.
Nice to Have
- AWS Certification strongly preferred.
- Hands-on experience building AI agents (e.g., using LangGraph or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through rigorous testing and evaluation, including Agentic AI connection protocols.
- Applying AI/ML to boost engineering productivity and using agentic AI to automate workflows such as code reviews, test generation, data quality checks, and runbook execution.
- Knowledge on SSO implementation and Azure AD (MS Entra) groups.
- Great communication and collaboration skills.
- Proven ability to drive innovation and install a culture of ‘continuous improvement’ that measurably improves business outcomes.
- Ability to communicate effectively and translate technical concepts to senior management and non-technical stakeholders.
Technical Stack
- Cloud: AWS (S3, EKS, Lambda, Glue, EMR, Redshift, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge)
- Data Platforms: Data Lakehouses (AWS, Databricks, Snowflake), Data virtualization (Starburst, Denodo)
- Data Management: Data catalogs & quality (Collibra, Alation), Master Data Management (Informatica)
- Languages & Frameworks: Python (Pandas, Spark/PySpark), API Development (FastAPI), REST/GraphQL APIs
- Streaming & Caching: Kafka/MSK, Avro/JSON, Valkey/Redis
- DevOps & Infrastructure: GitHub, Git/GitHub workflows, ArgoCD, IAM, KMS, VPC, OpenTelemetry
- AI/ML: AI/ML (GitHub Copilot, Amazon Q), AI Agents (LangGraph, LlamaIndex), RAG, Azure AD (MS Entra)
Team & Environment
You will be part of the Technology & Data Team, which includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Fitch Group fosters a culture of credibility, independence, and transparency, recognized by Built In as a 'Best Place to Work in Technology' for three consecutive years. It's a dynamic department where innovation meets impact, with a shared passion for leveraging modern technology to drive projects that matter.
Benefits & Compensation
- 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.
- Investing in Your Future: Retirement planning and tuition reimbursement programs.
- Promoting Health & Wellbeing: Comprehensive healthcare offerings.
- Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan.
- Inclusive Work Environment: A collaborative workplace with Employee Resource Groups.
- Dedication to Giving Back: Paid volunteer days, matched funding for donations.
Work Mode
This role is hybrid, based in Monterrey, Mexico, with an expectation of 40% in-office presence monthly.
Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
