Application Architect

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Company: TechWish

Location: Manassas, VA 20110

Description:

Swift is seeking a highly experienced Enterprise Architect with a strong background in Data Architecture and Governance. In this role, you will lead the development of our enterprise data strategy, ensuring alignment with business goals and regulatory requirements. You will collaborate with cross-functional teams to design and implement robust data solutions, establish governance frameworks, and drive the adoption of best practices for managing data as a strategic enterprise asset.

Key Focus Areas and Responsibilities:
Enterprise Data Strategy
Develop and maintain the long-term enterprise Data Architecture strategy, ensuring alignment with business objectives and evolving technology standards.
Collaborate with executive leadership to incorporate data-driven insights into broader organizational strategies.
Data Architecture & Modeling
Design conceptual, logical, and physical data models that meet both current and future business requirements.
Guide system and application architects on data-related solution design and data integration best practices.
Data Governance
Establish and lead enterprise-wide data governance frameworks, policies, and standards.
Define data ownership and stewardship roles; manage processes for data quality, metadata management, and regulatory compliance.
Oversee the creation and maintenance of data dictionaries, glossaries, and other documentation.
Data Integration & Management
Drive the design of reliable data integration processes, including ETL/ELT pipelines and enterprise service buses.
Identify opportunities to optimize data flows, reduce data redundancy, and improve real-time availability of trusted data.
Technology Leadership
Evaluate emerging data technologies, tools, and platforms for potential adoption (e.g., cloud-based data warehousing, data lakes, master data management, advanced analytics, etc.).
Work closely with IT and Security teams to ensure robust data security controls, including access management, encryption, DLP, and compliance with data privacy regulations.
Collaboration & Stakeholder Engagement
Partner with business units, IT teams, and external vendors to ensure seamless integration of data solutions and initiatives.
Provide strategic guidance to development teams and communicate architectural decisions, standards, and guidelines clearly to stakeholders at all levels.
Continuous Improvement & Thought Leadership
Monitor industry trends and best practices to ensure the organization stays on the cutting edge of enterprise data management.
Mentor junior architects and data professionals; foster a culture of knowledge sharing and continuous learning.

Qualifications:
Education & Experience:
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
8+ years of experience in enterprise architecture roles with a strong emphasis on Data Architecture and governance.
Technical Expertise:
Proven experience in data modeling, database design, and data integration strategies.
Hands-on expertise with industry-leading data governance and data management tools (e.g., Collibra, Informatica, Talend, IBM InfoSphere, etc.).
Familiarity with cloud computing platforms (AWS, Azure, or GCP) and modern data technologies (data lake, data warehouse, streaming, NoSQL).
Strong understanding of security, privacy, and regulatory standards such as GDPR, CCPA, HIPAA, or SOX.
Soft Skills & Leadership:
Exceptional communication and presentation skills; ability to convey complex data concepts to non-technical stakeholders.
Proven leadership in driving enterprise-wide data initiatives and influencing organizational change.
Demonstrated ability to build relationships and collaborate across diverse teams.
Certifications (Preferred)
TOGAF, Zachman, or other recognized Enterprise Architecture certifications.
Data management or governance certifications (e.g., CDMP, DGSP).
Cloud architecture certifications (e.g., AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert).

Skills:
Data Architecture and Governance Expert (10+) ( 10,00 years )
Data Modelling and Integration Expert (10+) ( 10,00 years )
Data Modelling Tools Senior (6-9) ( 8,00 years )
Data Technology Platforms Expert (10+) ( 10,00 years )
Enterprise Architecture 5,00 Minimum number of years 8,00 Ideal number of years
Presentation skills Senior (6-9)
Superior Communication Senior (6-9)

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