Data Architect​/Data Modeler

Data Architect / Data Modeler Ascentt
• Plano, Texas, United States, 75024

Ascentt is building cutting‑edge data analytics & AI/ML solutions for global manufacturing leaders. We turn enterprise data into real‑time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real‑world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.

We are seeking an experienced Data Architect with a strong focus on enterprise data modeling, semantic modeling, and modern data platform architecture. The ideal candidate will have a minimum of 10 years of experience designing scalable data solutions, building conceptual, logical, physical, and semantic models, and enabling trusted analytics across the enterprise.

This role requires a candidate who can translate business requirements into reusable data structures, define consistent business metrics, and partner with engineering, analytics, governance, and business teams to create a strong data foundation. The candidate should have hands‑on experience with modern cloud data platforms, lakehouse architecture, data warehousing, BI platforms, and governed data consumption layers.

• Design and maintain conceptual, logical, physical, and semantic data models to support reporting, analytics, operational, and advanced data use cases.
• Define scalable data modeling patterns including dimensional models, star schemas, snowflake schemas, canonical models, entity relationship models, data vault concepts, and curated consumption‑layer models.
• Develop semantic models that establish consistent business definitions, KPIs, metrics, hierarchies, dimensions, and calculation logic across analytics and BI platforms.
• Work with business stakeholders to understand processes, define business terms, identify key data domains, and convert requirements into clear and governed data models.
• Partner with data engineering teams to ensure data models are accurately implemented across data pipelines, warehouses, lake houses, and semantic layers.
• Establish standards for naming conventions, keys, relationships, metadata, data lineage, data quality rules, and modeling documentation.
• Support modern data platform architecture across technologies such as Databricks, Snowflake, Azure Synapse, Microsoft Fabric, AWS Redshift, Google Big Query, Delta Lake, or similar platforms.
• Design models across raw, curated, and consumption layers, including bronze/silver/gold or equivalent lakehouse patterns.
• Review and optimize existing models for performance, scalability, usability, consistency, and maintainability.
• Support data product design by defining domain‑aligned entities, data contracts, reusable metrics, and governed consumption models.

• Minimum 10 years of experience in data architecture, data modeling, data warehousing, business intelligence, enterprise analytics, or related areas.
• Strong hands‑on experience in conceptual, logical, physical, and semantic data modeling.
• Deep understanding of dimensional modeling concepts including facts, dimensions, grain, slowly changing dimensions, conformed dimensions, hierarchies, and metric design.
• Experience designing semantic layers or business consumption layers for enterprise reporting and self‑service analytics.
• Strong SQL skills with the ability to validate models against source data, business rules, and reporting requirements.
• Experience with modern cloud data platforms such as Databricks, Snowflake, Azure, AWS, GCP, Microsoft Fabric, or similar.
• Experience with BI and analytics tools such as Power BI, Tableau, Looker, Qlik, or similar.
• Strong understanding of metadata management, data lineage, governance, data quality, master data, and reference data concepts.
• Ability to engage with business stakeholders, data engineers, BI developers, product owners, and governance teams.
• Strong documentation, communication, problem‑solving, and architecture leadership skills.

• Experience with semantic modeling tools or frameworks such as Power BI semantic models,…