Senior Data Architect

This is a fully remote position, open to applicants in Florida, +4 more states.

📋 Description

• Oversee the architecture and design of enterprise data platforms, enterprise data products, and contemporary lakehouse solutions.

• Define and uphold enterprise conceptual, logical, and physical data models across various business domains.

• Create canonical, semantic, dimensional, Data Vault 2.0, and normalized data models.

• Establish enterprise data modeling standards, naming conventions, modeling best practices, and governance of architecture.

• Design scalable data solutions utilizing Databricks Lakehouse, Delta Lake, Unity Catalog, and modern cloud technologies.

• Develop and enhance complex SQL solutions for analytical workloads, transformations, data quality validation, and performance tuning.

• Collaborate with Data Engineering teams to ensure the implementation of architecture standards and enterprise data models.

• Lead architecture reviews, solution design workshops, and technical governance across enterprise initiatives.

• Create metadata-driven frameworks, reusable architecture patterns, and standardized data pipelines.

• Work alongside Data Governance teams on metadata, lineage, stewardship, business glossary, master data management, and data quality.

• Improve platform scalability, performance, reliability, security, and cost-effectiveness.

• Guide architects and engineers on enterprise architecture, data modeling, SQL optimization, and engineering best practices.

• Assess emerging technologies and suggest future-state architecture in alignment with enterprise strategy.

⛳️ Requirements

• Bachelor’s degree in computer science, Information Systems, Engineering, or a related discipline.

• 10+ years of experience in enterprise data architecture and enterprise data modeling.

• 5+ years of experience in designing cloud-native data platforms and modern data architectures.

• Expertise in SQL, including query optimization, execution plan analysis, indexing strategies, window functions, stored procedures, complex joins, and performance tuning.

• Strong hands-on experience with the Databricks Lakehouse Platform.

• Profound knowledge in conceptual, logical, physical, dimensional, semantic, and Data Vault 2.0 data modeling.

• Extensive experience with enterprise data modeling tools such as Erwin Data Modeler, ER/Studio, Lucidchart, Visio, or similar platforms.

• Solid experience with Apache Spark, Delta Lake, Unity Catalog, Python, and SQL.

• Experience in designing enterprise data warehouses, lakehouses, semantic layers, and enterprise data products.

• Strong understanding of Azure cloud services, including Azure Data Lake Storage, Azure Data Factory, Microsoft Entra ID, Azure Functions, and related services.

• Experience in implementing CI/CD, Infrastructure as Code, Git, and DevOps best practices.

• Strong knowledge of metadata management, lineage, governance, master data management, reference data management, and data quality.

• Excellent analytical, communication, and stakeholder management abilities.

• Microsoft Azure Solutions Architect Expert or equivalent certifications are preferred.

• Databricks Certified Data Engineer Professional or equivalent certification is preferred.

• Experience with implementing enterprise metadata repositories and data catalogs.

• Experience with Snowflake Secure Data Sharing.

• Experience supporting AI, machine learning, and enterprise analytics platforms.

• Experience in financial services, insurance, or other highly regulated industries.

🏝️ Benefits

• Eligibility for discretionary annual bonuses.

• Paid Time Off (PTO).

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• Retirement savings options.

• Disability insurance coverage.

• Life insurance coverage.