Enterprise Data Architect - Remote

Location:  Remote - must be available to work EST hours

Job Type: Full Time / Contract 

Work Authorization: No Sponsorship

The A.C.Coy Company has an immediate need for an Enterprise Data Architect.  Ideal candidates must have 10+ years of experience as a Data Architect.

• Lead the design, develop and implement data models for enterprise-level applications and systems.architected in the following layers: conceptual, logical, business area, and application
• Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
• Establish methods, tools, and procedures for tracking data quality, completeness, redundancy, and improvement
• Propose and collaborate on plans for security, backup, disaster recovery, business continuity, and archiving within the domain architect area
• Identify, establish, publish, and communicate the data principles, standards, frameworks, structures, technology components, interfaces, patterns, methodologies, and best practices
• Conduct data capacity/workload planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
• Develop and promote data management methodologies and standards
• Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture
• Collaborate with Architecture & Governance, Integration, Infrastructure, Security, Data Privacy, and other groups to establish and champion the adoption of a modern data architecture practice
• Oversee the development team by monitoring and reviewing the quality, performance, security, and scalability of solutions, addressing any technical issues to ensure compliance with requirements, standards, and policies
• Work with the compliance team to ensure that data strategies and architectures are in regulatory compliance
• Integrates relevant security and compliance standards into all data architectural designs to build a robust framework
• Advocates for security and risk management practices at every architectural touchpoint to protect data from unauthorized access and maintain privacy in compliance with regulations like GDPR, HIPAA, and CCPA
• Coordinate and manage FEAT work-intake tasks and associated strategies to ensure proper alignment and successful implementation by leveraging architectural consulting expertise, direction, and support
• Develop comprehensive plans for integrating new systems with existing ones to establish baseline architecture and system requirements, ensuring seamless interoperation of different systems and promoting reusability 
• Maintain and develop a thorough architecture (domain architect area) blueprint, considering business needs, constraints, and industry standards within the domain architect area
• Oversee the mapping of data sources, data movement, interfaces, and analytics, to ensure data quality
• Identify opportunities for data reuse, migration, or retirement, and resolve data issues related to data systems integration, compatibility, and multi-platform integration

Education:

• Degree in computer science, information systems, or computer engineering

Certification:

• TOGAF (The Open Group Architecture Framework) - Preferred

Requirements:

• Data or information architect - 10+ years
• Hands-on experience with data architecting, data mining, large-scale data modeling, business requirements gathering/analysis, entity relationship planning, database design, reporting structures -10+ years
• Direct experience in implementing enterprise data management processes, procedures, and decision support
• Strong understanding of AI foundational principles, governance, and how data needs to be ready for AI
• Strong familiarity with metadata management and associated processes, as well as managing data and metadata migration
• Extensive hands-on experience with enterprise repository tools, data modeling, mapping, profiling, and repository creation, as well as data and information system life cycle methodologies
• Knowledge of applicable data privacy practices and laws
• Proven experience in architecting and implementing Business Intelligence and Data Warehouse platforms, Master Data Management, data integration, and OLTP database solutions
• A comprehensive understanding of data warehousing and data transformation (extract, transform, and load) processes and the supporting technologies, such as Azure Data Factory, Data Lake, and other analytics products
• Experience working with Data in AI systems - Preferred