Lead Data Modeler

About the Company:

Everest DX – We are Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs', AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.

Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our Digital Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speed digital transformation.

Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.For more information, please visit

What You Bring:

Overall 10+ years experieince with expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains )

Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake.

Experience with version control systems like GitHub and deployment & CI tools.

Experience of metadata management, data lineage, and data glossaries is a plus.

Working knowledge of agile development, including DevOps and DataOps concepts.

Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail.

Primary :

10+ years of overall technology experience that includes at least 8+ years of data modeling and systems architecture.

5+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.

6+ years of experience developing enterprise data models.

4+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP).

4+ years of experience with building solutions in the retail or in the supply chain space.

What You'll Do:

Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies.

Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned.

Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.

Drive collaborative reviews of data model design, code, data, security features to drive data product development.

Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model.

Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping.

Partner with the data stewards team for data discovery and action by business customers and stakeholders.

Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting.

Assist with data planning, sourcing, collection, profiling, and transformation.

Support data lineage and mapping of source system data to canonical data stores.

Create Source to Target Mappings (STTM) for ETL and BI developers.

Education: Bachelor's Degree and equivalent work experience.

Location: Plano, Texas / Purchase, NY

Job Type: Fulltime

Equal Opportunity & Diversity Statement

At EverestDX, we are proud to be an equal opportunity employer committed to fostering diversity and inclusion in the workplace. Our employment decisions are based on merit, qualifications, and business needs, without regard to race, color, creed, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability, or any other characteristic protected by applicable federal, state, or local law.

We believe that a diverse and inclusive workforce is essential for driving innovation, creativity, and success. We value the unique perspectives, backgrounds, and talents that each individual brings to our organization. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, promotions, transfers, discipline, compensation, benefits, and training.

We recognize and appreciate the importance of providing a workplace where everyone feels valued, respected, and supported. We strive to create an environment that promotes fairness, equality, and opportunities for professional growth. Additionally, we comply with all applicable laws and regulations regarding equal employment opportunities and nondiscrimination.

EverestDX is an equal opportunity employer, dedicated to diversity and inclusion in every aspect of our workplace.