Senior Data Architect

About the position

As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform.

Responsibilities

• Establish consistent data standards, reference architectures, patterns, and practices across the organization.
• Define reference data architecture and work with agile teams to ensure best practices are used in data platform development.
• Create strategies and design solutions for Data Migration, database optimization, and data architectural solutions for Analytics Data Projects.
• Design, develop, and troubleshoot complex technical problems in OLAP/OLTP/DW and Analytics.
• Provide solutions for Enterprise-level Applications utilizing Azure Data Platform.

Requirements

• 10+ years of experience in Information Technology.
• 5 to 10 years of experience in Enterprise data architecture, Data Modelling, Data management, and Data strategy.
• 5 to 7 years of experience in Cloud database technologies.
• 7 to 10 years of experience as a data architect.
• Solid understanding of databases and the strengths and weaknesses of platforms and products.
• Expertise in creating ER, Logical, Physical, and Conceptual data models for an enterprise.
• Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores.
• Proficiency in the design of batch and streaming data ingestion.
• Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs.
• Experience with solving performance challenges for various velocities, latencies, and volumes of data.
• Designing and maintaining the data models, including conceptual, logical, and physical data models.
• Experience with SOA data layer utilizing data access frameworks and exposing data via web services.
• Experience with Business Intelligence and data mart architecture.
• Experience creating a data architecture vision between lines of business and IT.
• Demonstrated competency in communicating the value of data architecture to stakeholders and senior management.
• Experience in SDLC processes, database patterns, and development frameworks.
• Strong interpersonal, verbal, and written communication skills.
• Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance.
• Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies.
• Deep expertise in Data engineering capabilities involving architecture, modeling, data governance, storage, security, resilience, and replication.
• Knowledge of Informatica - IICS task flows development and maintenance.
• Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database.
• Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM.
• Experience with data integration services such as Azure Data Factory.
• Experience with business intelligence tools; Power BI or Qlik is preferred.
• Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment.

Nice-to-haves

• Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point.
• Microsoft Azure Data Engineer or other cloud certifications.
• Data bricks experience and certification.

Benefits

• Generous time off, including personal and volunteering.
• Tuition reimbursement and professional development opportunities.
• Remote work.
• Charitable contribution match programs.
• Stock purchase opportunities.