Associate Director, Data & Application Integration

Stellenbeschreibung:

  • Lead enterprise strategy for application-to-data integration and set technical direction
  • Define and govern standards, patterns, and architecture principles for integration across applications and data platforms
  • Drive alignment between DT application engineering, Data Engineering, Analytics, Architecture, Cybersecurity, and Infrastructure teams
  • Establish strategy for APIs, event streams, ETL/ELT pipelines, data replication, and cloud-native integration services
  • Identify integration risks, redundant interfaces, architectural gaps, and opportunities to increase reuse and standardization
  • Review and approve major integration designs through architecture governance processes
  • Ensure cybersecurity, resiliency, compliance, and performance requirements are incorporated into integration designs
  • Influence multi-year roadmaps for applications and data platforms to ensure technical alignment
  • Mentor and guide architects, senior engineers, and technical leads in integration architecture and data interface design
  • Lead cross-team execution to resolve complex multi-system integration issues
  • Serve as senior technical authority for application integration with enterprise data and AI platforms
  • Act as primary liaison between DT Application teams and the Data, Analytics & AI organization
  • Lead complex cross-team engineering efforts supporting cloud modernization, platform consolidation, and mission-critical analytics and AI initiatives

Requirements

  • University Degree or equivalent experience and a minimum of 12 years of prior relevant experience, or an Advanced Degree in a related field and minimum 10 years experience
  • Experience leading large-scale application-data integration initiatives
  • Advanced expertise in APIs, event-driven systems, data pipelines, microservices, and integration platforms
  • Strong knowledge of Azure, AWS, or GCP cloud services
  • Experience driving governance and alignment across multiple technical organizations
  • Ability to design secure and compliant integration solutions in regulated environments
  • Strong ability to diagnose and resolve complex cross-system data flows and interoperability issues
  • Master’s degree in technical field preferred
  • Experience in aerospace, defense, or other regulated industries preferred
  • Familiarity with enterprise data governance and metadata management preferred
  • Experience designing integrations for data lakes, lakehouses, and event streaming systems, including Snowflake and Databricks
  • Professional certifications such as Azure Solutions Architect, AWS Solutions Architect Professional, TOGAF, or integration platform certifications preferred
  • Experience leading enterprise modernization or cloud transformation programs preferred
  • U.S. citizenship required; only U.S. citizens are authorized to access information under this program/contract

Core Competencies

Demonstrates advanced expertise in application-to-data integration, including API design, event-driven systems, and data pipeline architecture. Proven ability to lead cross-team engineering efforts and ensure compliance and security in regulated environments.

Highest-signal resume keywords

  • Application-Data Integration Leadership
  • Advanced API Expertise
  • Cloud Services Knowledge (Azure, AWS, GCP)
  • Integration Architecture Governance
  • Cross-System Data Flow Resolution

ATS Optimization Keywords

Hard Skills

  • APIs
  • Event-Driven Systems
  • Data Pipelines
  • Microservices
  • Integration Platforms
  • Data Lakes
  • Lakehouses
  • Event Streaming Systems
  • Integration Design
  • Data Interface Design

Soft Skills

  • Mentoring
  • Cross-Team Collaboration
  • Problem Solving

Certifications & Qualifications

  • Azure Solutions Architect
  • AWS Solutions Architect Professional
  • TOGAF

Industry Keywords

  • Aerospace
  • Defense
  • Regulated Industries
  • Enterprise Data Governance
  • Metadata Management

Tools & Technologies

  • Snowflake
  • Databricks

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Stelleninformationen

  • Veröffentlichungsdatum:

    16 Sep 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

    Development & IT
  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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