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The Data Architect designs, develops and maintains integration solutions using the MuleSoft Anypoint Platform. They create and manage APIs, ensure seamless data flow between systems, and provide technical support for integration solutions. The Data Architect will work closely with the IT team and business stakeholders to develop integration solutions that support the organization's goals and objectives, develop scalable data and API solutions, ensure seamless data flow across systems, and support the Data Analytics platform to drive data-driven decision-making.
Job Responsibility:
Maintain a deep understanding of Microsoft data solutions, data modeling, and database design, ensuring data systems are scalable, secure, and aligned with business goals
Develop and implement cohesive Data Fabric solutions that integrate disparate data sources across cloud and on-premises environments
Design and manage data transformation and processing workflows using tools like Fabric Spark, PySpark, and SQL
Ensure seamless data flow across systems and platforms, supporting real-time analytics, business intelligence, and operational reporting
Design, develop, and enhance integration solutions, APIs, and flows using the MuleSoft Anypoint Platform, ensuring reliability, scalability, and performance
Create, test, and manage APIs and integration flows that enable seamless connectivity between internal systems, third-party applications, and cloud-based services
Perform unit testing, quality assurance, debugging, and ongoing troubleshooting of integrations for all databases and applications across all environments
Develop solutions and proof of concepts (PoCs) based on business and project needs to validate integration approaches
Implement and enforce best practices, reusable patterns, and standards in integration design
manage API lifecycle governance including versioning, security, and access controls
Establish and enforce data governance policies and frameworks, ensuring compliance with industry regulations and internal standards
Monitor and maintain data quality, lineage, and security across the entire data lifecycle
Optimize data workflows and infrastructure for efficiency, scalability, and reliability
Participate in training, certification programs, and industry communities to continuously enhance skills across MuleSoft, data architecture, and related technologies
Requirements:
Bachelor's degree in computer science, information technology, or a related field
8+ years of experience in Fabric related technologies, LakeHouses, Data Modeling, Database Design, Data Governance
5+ years of experience in MuleSoft, Middleware, and Mule ESB
Strong knowledge of SOA, XML, SOAP, REST, and RDBMS
Experience in designing and developing complex use cases using MuleSoft
MuleSoft certification is preferred
Proficiency in SQL and data modeling
Experience with data transformation/ETL processes
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Ability to work independently and manage multiple projects simultaneously