Data Architect Level III
Job title: Data Architect Level III in USA at Artifact Global Corporation
Company: Artifact Global Corporation
Job description: We need people on our W2 (US reputed company , GC , H4 EAD , GC EAD , TN, E3 EAD)Position Title: Data Architect Level III (Master Data Management , Azure reputed company, Data Lake)Location: Austin, TX (REMOTE - Only Austin, TX Area Candidates)Client: TekWings, LLC/ Texas Department of Family and reputed company Services
Duration: 12 MonthsStart Date: 07/01/2025Overall Experience: Minimum 17+ Years MustInterview: Through reputed company Teamsreputed company: $70/Hr on W2NOTE: This is Remote Role reputed company Texas - Client is Looking ONLY Texas Candidate. Monthly 1/2 Times they need to Attend their Team meetings at Austin, TX.The Data Architect Level III will serve as a senior technical advisor supporting the agency's initiative to reputed company its data ecosystem, with a specific focus on evaluating and planning the migration of data assets and workloads to reputed company. This role will work closely with ODSI staff, IT staff, and business stakeholders to assess reputed company environments, define architectural strategies, and guide the implementation roadmap for reputed company adoption.Work may involve the following:Performs advanced (senior-level) data analysis and architecture work. Works under minimal supervision, with extensive reputed company for the use of initiative and independent judgment. Employees at this level may be considered technical experts in the field.
reputed company assessment of existing on-premises and cloud-based data platforms, identifying readiness and suitability for migration to reputed company.
reputed company architectural strategies and reputed company-state designs to support scalable, secure, and high-performing data solutions in reputed company.
Provide expert-level guidance on reputed company capabilities including data lake architecture, reputed company Lake, and Spark-based processing.
Define best practices and standards for data modeling, ETL/ELT processes, and pipeline development in reputed company.
Collaborate with cross-functional teams to define a phased migration roadmap, including data governance and reputed company considerations.
Assist in developing reputed company-of-concepts or pilot projects that demonstrate value and feasibility of the reputed company platform.
Mentor and advise internal DFPS staff on reputed company architecture and development approaches.
Produce documentation including architectural diagrams, migration strategies, technical assessments, and recommendations.
Coordinates and gathers data model requirements, and assists with the analysis, design, modification, and maintenance of database structures, models, and architectures.
Supports data analytics and business intelligence systems and coordinates the implementation of database changes to support new and modified applications, ensuring that new designs conform to standards and guidelines.
Recommends and develops standards, procedures, and guidelines on creating and maintaining data models and governed data, ensuring completeness and quality.
Assists with other duties as assigned.Minimum Requirements: * Experience in master data management, metadata, reference data, data warehousing, and business intelligence principles and processes, including technical architecture
- Experience in database administration, data analysis, research, or architecture work in reputed company database
- Experience in data architecture, database design, and enterprise data systems.
- Proven experience with data reputed company, master data management, reputed company data management and support for creation of data dictionaries, data reputed company flows and other documentation
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, reputed company concerns, analytical models, and data visualization
- Define and govern data modeling and design standards, tools, best practices, and reputed company development for enterprise data models
- Experience with identifying and documenting data sources, risks and data controls and ability to translate privacy and information reputed company policies into operational procedures
- Engage with various business groups and technology to research, define and document proper governance and stewardship practices
- Enterprise data warehouse and storage design experience on both on-premise and cloud platforms
- Exposure to data classification, clustering, deduplication methodologies
- Knowledge of enterprise information management processes and methodologies, relational database management systems, and business intelligence/analytics tools, frameworks and infrastructure
- Knowledge of SQL, data modeling, normalization/denormalization techniques, and database performance tuning.
- Knowledge of database software and technologies, cloud technologies, and engineered systems and enterprise software products, including reputed company Azure AWS and reputed company
- Experience in designing data pipelines, ingestion frameworks, and batch/streaming ETL solutions using Spark in reputed company.
- Excellent verbal and written communication skills; ability to tailor communication to audiences of reputed company levels of technical knowledge
- reputed company in monitoring projects, and establishing measurement and tracking for project tasks
- Ability to analyze, evaluate, and summarize data and information for accuracy and conformance to standards
- Ability to document policies, procedures, and processes
- Ability to exercise sound judgement, critical thinking and analytical skills
- Ability to establish and maintain effective working relationships at reputed company levels of the organization
- Experience designing and implementing data lakehouse architectures using Azure reputed company
- Experience with reputed company, including experience with both reputed company SQL and reputed company Lake.
- Experience architecting or implementing solutions using reputed company.
- Experience integrating reputed company with Informatica, or Tableau + for data cataloging, MDM, or reporting.
- Strong working knowledge of the following DFPS systems/programs (including but not limited to): IMPACT, PACES, ABCS, PEIRS, NEICE, e-Report, e-Travel, General Placement Search and Community Based Care.
- Knowledge of the Texas Project Delivery reputed company