About GSPANN
Headquartered in Milpitas, California (U.S.A.), GSPANN provides consulting and IT services to global clients, ranging from mid-size to Fortune 500 companies. With our experience in retail, high-technology, and manufacturing, we help our clients to transform and deliver business value by optimizing their IT capabilities, practices, and operations. Counting on our ten offices, including four global delivery centers, and approximately 1400 employees globally, we offer the intimacy of a boutique consultancy with capabilities of a large IT services firm
Senior Enterprise Data Architect Location-Orlando, FL(Remote EST Hours/ Travel Required)
Job Type-Long Term Contract
15 -25 Years Experience Candidates
We are seeking a Data Architect(Go Getter Attitude) who operates at the intersection of data modeling, business understanding, and analytical insight. This role is not limited to designing schemas it requires a deep curiosity about how the business works and the ability to translate that understanding into scalable, coherent data domains and models that serve both analytical and operational needs.
Key Responsibilities
- Lead the design and evolution of enterprise data models, including conceptual, logical, and physical layers.
- Translate complex business processes, entities, and relationships into well-structured data domains and models.
- Partner closely with business stakeholders to understand workflows, metrics, and decision-making processes, and reflect them accurately in data structures.
- Develop models that support both analytical use cases (e.g., reporting, BI, data science) and non-analytical use cases (e.g., operational systems, APIs).
- Establish and enforce data modeling standards, naming conventions, and governance practices across the organization.
- Collaborate with data engineers to ensure models are implemented efficiently in modern data platforms (e.g., warehouses, lakehouses).
- Analyze existing data systems to identify gaps, redundancies, and opportunities for simplification or improvement.
- Drive domain-oriented data architecture (e.g., data mesh principles) where appropriate, ensuring clear ownership and boundaries.
- Ensure data models are scalable, maintainable, and aligned with long-term business strategy.
Qualifications
- Strong experience in data modeling (dimensional, normalized, and hybrid approaches).
- Demonstrated ability to deeply understand business domains and map them into data structures.
- Proficiency with SQL and experience working with modern data platforms (e.g., Snowflake, BigQuery, Databricks).
- Solid analytical skills, with the ability to explore and validate data against real business scenarios.
- Experience collaborating with both technical teams and non-technical stakeholders.
- Familiarity with data governance, metadata management, and data quality frameworks.
- Ability to think abstractly about systems while also engaging with detailed data-level implementation.
Preferred Attributes
- Experience designing data domains aligned to business capabilities or bounded contexts.
- Background in analytics, BI, or data science that informs modeling decisions.
- Comfort working in evolving environments where both business and data structures are still being defined.
- A strong sense of ownership and curiosity about how data reflects real-world business processes.
What the role is not
- An ETL or a data integration architect
Working at GSPANN GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry. The company does and will take an affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans, and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disability.
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