Data Architect / Data Mapping Architect

Machine Learning Technologies, LLC; Arlington (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC in Arlington, TX is seeking a Data Architect / Data Mapping Architect to lead discovery workshops with finance, accounting, operations, and executives to identify reporting needs and data gaps.

You will translate business requirements into canonical data models, source mappings, and acceptance criteria; define financial structures; design Snowflake data layers for ingestion, standardization, and curated reporting; and establish data ownership and security

Responsibilities

• Lead discovery workshops with finance, accounting, operations, and executive stakeholders to identify reporting needs, data gaps, and priorities.
• Translate business requirements into approved measures, reporting dimensions, canonical data models, source mappings, and acceptance criteria.
• Define financial structures such as legal entities, chart of accounts, cost centers, products, suppliers, and fiscal periods, according to the agreed scope.
• Establish data ownership, stewardship, business definitions, and a practical process for approving changes.
• Design Snowflake data layers for ingestion, standardization, and curated financial reporting, including history, lineage, reconciliation, security, and performance considerations.
• Define integration patterns across financial applications, planning systems, enterprise SaaS applications, and external logistics partners.
• Specify feed contracts, refresh requirements, validation rules, safe replay, and exception handling.
• Use SQL and Python to profile source data, test mappings, validate reconciliations, and develop representative integration or transformation prototypes.
• Design role-based privileges, row-level restrictions, and sensitive-field controls with security stakeholders.
• Present architecture options and tradeoffs to business leaders, secure decisions, and document implementation-ready requirements.
• Develop a phased backlog and roadmap; review engineering designs and implementations against approved standards.
• Coordinate with finance, security, and operations on testing, acceptance, and production readiness.

Job description

Role : Data Architect / Data Mapping Architect
Location: Arlington, TX
Work Arrangement: Hybrid – Onsite 2 Days per Week
Job Description :

• Lead discovery workshops with finance, accounting, operations, and executive stakeholders to identify reporting needs, data gaps, and priorities.
• Translate business requirements into approved measures, reporting dimensions, canonical data models, source mappings, and acceptance criteria.
• Define financial structures such as legal entities, chart of accounts, cost centers, products, suppliers, and fiscal periods, according to the agreed scope.
• Establish data ownership, stewardship, business definitions, and a practical process for approving changes.
• Design Snowflake data layers for ingestion, standardization, and curated financial reporting, including history, lineage, reconciliation, security, and performance considerations.
• Define integration patterns across financial applications, planning systems, enterprise SaaS applications, and external logistics partners.
• Specify feed contracts, refresh requirements, validation rules, safe replay, and exception handling.
• Use SQL and Python to profile source data, test mappings, validate reconciliations, and develop representative integration or transformation prototypes.
• Design role-based privileges, row-level restrictions, and sensitive-field controls with security stakeholders.
• Present architecture options and tradeoffs to business leaders, secure decisions, and document implementation-ready requirements.
• Develop a phased backlog and roadmap; review engineering designs and implementations against approved standards.
• Coordinate with finance, security, and operations on testing, acceptance, and production readiness.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.