Enterprise Data Architect - Remote

Overview 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. Responsibilities 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

Qualifications 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