> Markdown version of [/jobs/ext/2049264-director-mdm-integrations](https://www.wearedevelopers.com/jobs/ext/2049264-director-mdm-integrations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Director, MDM Integrations

- **Company:** Fitch Group, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $175,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Boost (C++ Libraries), Code Review, Continuous Integration, Data Validation, Data Discovery, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Github, Identity and Access Management, Interoperability, JSON, PostgreSQL, Performance Tuning, Reference Data, Virtualization Technology, GitHub Copilot, Apache Spark, Caching, Amazon Virtual Private Cloud (VPC), Fastapi, Pandas, Build Management, Data Lakes, Pyspark, Collibra, Avro, Apache Kafka, Graphql, Data Management, Api Design, Pagination, Data Pipelines
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/55319cd9-6320-4aba-9fd7-a2d7ab25365a

## About the Role

* 5-7+ years leading data engineering teams, preferably in financial services and cloud experience (AWS, Azure) and leveraging Agile methodologies, including hands-on expertise with:
 * Deep AWS expertise (EKS, Lambda, Glue, Redshift, S3, RDS/Aurora, Valkey/Reddis, Step Functions, MSK/Kafka, Event Bridge)
 * Ability to provide technical guidance and leadership to the team
 * 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
 * Open table formats (Iceberg or Delta Lake), partitioning, compaction, ACID, schema evolution
 * Database expertise with Postgres for schema design and performance tuning; Redshift optimization (sort/dist keys, WLM)
 * 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
 * Strong system design, testing culture (unit/integration/contract), documentation, threat modeling
 * Product-led delivery; ability to translate technical concepts to business outcomes; excellent communication

 * Technology solutions and tools including data governance and catalog solutions (e.g. Collibra, Alation, data platform and lake(house) (i.e. 'medallion' architecture), and data mesh and virtualization tools (e.g. Starburst, Denodo)
 * Experience operating in a product-led environment, where technical solutions are delivered in partnership with product managers, and success is measured by business impact

 * Strong track record of evaluating and implementing new technologies and methodologies to enhance efficiency

What Would Make You Stand Out:

 * Hands-on experience building AI agents (e.g., using LangChain or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through rigorous testing and evaluation.
 * Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q) and using agentic AI to automate workflows such as code reviews, test generation, data quality checks, and runbook execution.
 * Experience working with AI connection protocols (e.g., MCP, A2A) that ensure secure, interoperable, observable, and vendor-agnostic communication with authenticated, auditable messaging and robust error handling
 * Experience with forming strong partnerships with stakeholders and product teams

 * Great interpersonal and collaboration skills

Ability to translate technical concepts to non-technical stakeholders.

Proven ability to drive innovation and install a culture of 'continuous improvement' that measurably improve business outcomes

Ability to communicate effectively with senior management and influence decision-making and roadmaps

## Description

* Partner closely with the CDO team to deliver a modern, scalable solution of managing and delivering master and reference data, to consumers - unlocking Fitch's data for innovation, AI and smarter decision-making.

 * As lead of MDM integrations, build hands-on designs & deliver solutions ensuring well-coordinated technical delivery aligned to product-defined priorities and business outcomes
 * Integrate agentic and generative AI into Master Data Management to enhance data stewardship, automate matching and enrichment, enable conversational data discovery and issue resolution, and boost user adoption - advancing Fitch's AI-ready MDM capabilities.
 * Optimize MDM integrations performance and high-throughput data access by leveraging appropriate data management methodologies.
 * Drive complex data transformations and proactively triage issues to eliminate defects and prevent production incidents.

 * Mentor and motivate the squad members to grow their career and assist in technical hiring


## Related Videos

- [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [From event streaming to event sourcing 101](https://www.wearedevelopers.com/videos/91-from-event-streaming-to-event-sourcing-101)
- [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json)
- [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)

## Related Articles

- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)