Overview
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.
Primary Duties & Responsibilities
- 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.
Education & Experience
- 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.
Skills & Abilities
- Experienced with working in a complex environment.
- Excellent communication skills, both verbal and written.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Must have an eye for detail to ensure that compliance requirements are met consistently and accurately.
- Ability to work effectively in a team environment and collaborate with other IT teams.
- Must have the ability to analyze complex information, identify patterns and trends, and develop solutions to address compliance issues.
- Excellent problem-solving skills and attention to detail.
- Must have a clear understanding on how compensating controls are used to protect the organization.
- Experienced with MSWord, Excel, and PowerPoint
Physical Requirements
- Typical office environment.
