Enterprise Data Architect - Remote

A.C. Coy•Pittsburgh, PA

1d•Remote

About The Position

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. This is a full-time contract role and requires the candidate to be available to work EST hours. The company does not sponsor work authorization.

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 understanding of relational data structures, theories, principles, and practices
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
Proven experience with data platforms and technologies
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

Nice To Haves

TOGAF (The Open Group Architecture Framework) - Preferred
Experience working with Data in AI systems - Preferred

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 Alcoa 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