Data Architect - Tampa, FL
About the Role:
We are seeking a highly skilled and innovative Data Architect to join our Data Services team. This role blends hands-on technical depth with strategic architecture ownership - designing and governing the data blueprints that power our enterprise data platform, analytics, and AI/ML initiatives.
The ideal candidate is not just a builder but a decision-maker: someone who defines modeling standards, selects technologies, shapes governance frameworks, and ensures our data architecture is scalable, secure, and AI-ready. You will own the architecture blueprint that every downstream team depends on.
Your Day to Day:
Data Architecture & Modeling
- Design and maintain conceptual, logical, and physical data models (CDM/LDM/PDM) for enterprise data platform assets, ensuring alignment with business requirements and optimization for performance, scalability, and reuse.
- Define and enforce data modeling standards, naming conventions, and design patterns across the organization.
- Design database schemas, tables, views, indexes, and other database objects to support analytical and operational workloads.
Data Integration & Platform Architecture
- Collaborate with solution architects and data engineers to architect a robust, modern data platform supporting data integration, data quality, and data governance across cloud and hybrid environments.
- Define data flow diagrams, integration patterns, and orchestration strategies to ensure efficient and governed data movement between upstream and downstream systems.
- Work with data engineers to integrate data from multiple sources (structured and unstructured), ensuring consistency, quality, and lineage across the data ecosystem.
AI/ML & Advanced Analytics Enablement
- Partner with data scientists and AI/ML engineers to design data architectures that support AI/ML model development, training, and deployment - ensuring seamless integration into data pipelines.
- Architect AI-ready data frameworks that enable Business Intelligence (BI), machine learning, and generative AI use cases, including RAG patterns and LLM-powered applications.
- Implement explainable AI (XAI) principles to ensure transparency and trust in machine learning model outputs.
Governance, Documentation & Compliance
- Establish and enforce data governance standards, including data classification, PII handling, data lineage, access control, and metadata management.
- Create and maintain comprehensive documentation including data dictionaries, entity-relationship diagrams (ERDs), metadata catalogs, and architecture decision records.
- Ensure data models and architecture comply with data privacy regulations and organizational data governance policies.
Performance & Continuous Improvement
- Monitor and optimize the performance of data models and database queries to ensure efficient data retrieval and processing at scale.
- Evaluate emerging technologies and architecture patterns (e.g., lakehouse, data mesh, data fabric) and make recommendations aligned with organizational strategy.
- Foster a culture of continuous learning and technical excellence within the team; mentor and guide data engineers and junior architects.
Who we're looking for:
- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (Master's preferred).
- 7+ years of experience in data architecture and data modeling, including designing conceptual, logical, and physical data models across multiple functional domains (e.g., Sales, Finance, Supply Chain, Marketing).
- Strong proficiency in SQL and hands-on experience with modern cloud data platforms - specifically Snowflake and/or Databricks (Lakehouse architecture).
- Experience with ETL/ELT tools and frameworks (e.g., Matillion, dbt, Informatica, or similar) and data warehousing best practices.
- Proficiency in data modeling tools such as PowerDesigner, ER/Studio, ERwin, or similar.
- Working knowledge of Python for data processing, automation, or ML integration.
- Experience with AI/ML libraries and platforms (e.g., TensorFlow, PyTorch, Scikit-learn, Databricks ML, or AWS SageMaker) for supporting large-scale ML workloads.
- Solid understanding of data governance, data cataloging (e.g., Atlan, Alation, Unity Catalog), data quality frameworks, and compliance standards.
- Legally authorized to work in the U.S.
What's nice to have?:
- Experience with cloud platforms (AWS, Azure, or GCP) and multi-cloud architectures.
- Familiarity with lakehouse architectures, Delta Lake, Iceberg, Snowpark, or similar modern data formats and frameworks.
- Knowledge of MLOps/LLMOps patterns, model observability, and GenAI architecture concepts (RAG, vector databases, agentic AI).
- Experience with data observability and pipeline orchestration tools (e.g., Monte Carlo, Great Expectations, Control-M, Apache Airflow).
- Relevant industry certifications (e.g., Snowflake SnowPro, Databricks Certified, AWS/Azure Data certifications, CDMP/TOGAF).
- Experience working in Agile/SAFe environments with cross-functional teams.
- Excellent communication skills with the ability to translate complex technical concepts for both technical and non-technical stakeholders.
Annual Base Salary Range: $104,000-$149,500
What we offer
- We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
- We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.
- Seize the freedom to define your future and ours. We'll empower you to take risks, experiment and explore.
- Be part of an inclusive, diverse culture where everyone's contribution is respected; Collaborate with some of the world's best people and feel like you belong.
- Pursue your ambitions and develop your skills with a global business - our staggering size and scale provides endless opportunities to progress.
- Take pride in delivering our promise to society: To improve the lives of millions of smokers.
