Senior Data Architect

Education and Experience

• Bachelor’s or master’s degree in a related field.
• Ten (10) or more years of experience developing data technologies, with significant depth in data platform modeling, including defining data domains, data products, information flows, and platform reference architectures on lakehouse platforms such as Databricks, including Delta Lake, Unity Catalog, and medallion architecture design.
• Ten (10) or more years of experience deploying extract, transform, and load/extract, load, and transform (ETL/ELT) solutions in production environments, preferably using Spark-based platforms such as Databricks, with strong proficiency in data analysis and profiling to inform platform design decisions and support reporting needs.
• Ten (10) or more years of experience developing cloud-based data services, preferably in Amazon Web Services (AWS) or Microsoft Azure, with emphasis on data governance, metadata management, and data catalog practices within lakehouse platforms such as Databricks Unity Catalog.
• Ten (10) or more years of experience developing and overseeing the development of Python, Scala, Java,.NET, or similar solutions—including PySpark and Databricks notebooks—combined with strong SQL skills and experience with business intelligence (BI) and reporting tools such as Power BI and Tableau to support analytical deliverables.
• Ten (10) or more years of experience with database and query tuning, including experience in data quality assessment, data profiling, and establishing data standards to ensure accuracy and consistency across data assets.
• Ten (10) or more years of experience in mixed Windows/Linux environments, with demonstrated ability to partner with business stakeholders to define data requirements, validate data definitions, and deliver analytical insights.
• Additional Required Skills and Experience
• Proven track record of exceeding goals and evidence of the ability to consistently make sound decisions through a combination of analysis, experience, and judgment.
• Fluency in one or more database technologies; experience with relational and NoSQL databases is preferred.
• Fluency with distributed data platforms, with hands-on experience using Databricks, including Delta Lake, Unity Catalog, Databricks Workflows, and the Databricks lakehouse architecture, and proficiency with data architecture and platform design tools such as LeanIX, Ardoq, or similar enterprise architecture tools.
• Knowledge of at least one artificial intelligence/machine learning (AI/ML) pipeline technology or platform, along with familiarity with statistical analysis and data visualization to translate findings into clear business recommendations.
• Experience deploying, monitoring, and maintaining data pipelines in production environments—including Databricks Workflows and Delta Live Tables—with familiarity with data governance frameworks, data lineage documentation, and enterprise data catalog tools.
• Design models of the data platform that implement the intended business architecture, including data domains, data products, and information flows within a lakehouse paradigm such as medallion architecture on Databricks.
• Develop diagrams representing key platform components, data flows, and system interactions across the data platform landscape.
• Generate a list of components needed to build the designed platform, including data definitions, integration points, and analytical requirements needed to support the platform architecture.
• Communicate clearly, simply, and effectively.
• Computer Skills
• To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.
• Supervisory Responsibilities
• Requires supervisory responsibilities, including training employees, assigning work, and assuring quality throughout deliverables.
• Work Environment
• Standard indoor working environment.
• Occasional long periods of sitting while working at a computer.
• Position requires regular interaction with employees at all levels of the Firm and interaction with external vendors as necessary.
• Independent travel requirement: As needed
• Equal Opportunity Employer: disability/veteran