Senior Data Architect

Role Overview

• The Data Architect II is responsible for designing, managing, and optimizing the organization’s data architecture, ensuring the efficient flow, governance, and utilization of data across multiple platforms.
• Also focuses on building a modern, robust, and scalable data architecture approach, enhancing data strategy and supporting data-driven business decisions.
• Provides technical guidance and mentorship to junior team members and works closely with cross-functional teams to ensure an architectural approach aligned with business goals.
• Establishes the future-state data architecture and blueprints that enable enterprise data needs and ensure that systems are cost and performance optimized.
• Develops and communicates comprehensive data architecture processes, ensuring alignment with enterprise data standards.
• Designs and implements modern data architectures that support cross-functional initiatives, working across business units to address enterprise-wide needs.
• Develops advanced conceptual and logical data models, driving consistency and standardization across data modeling practices.
• Implements and advocates for data management best practices, including storage, integration, and consumption patterns, ensuring all solutions contribute to scalable and reusable data architectures.
• Leads data integration efforts across multiple systems, ensuring the effective integration of data from multiple sources into centralized platforms.
• Collaborates with DevOps and engineering teams to implement data storage and management systems.
• Creates and maintains comprehensive documentation of data architecture, models, and data flows.

Requirements

• Bachelor’s degree in computer science, information systems, or related field, or equivalent combination of education and/or related professional work experience.
• 7+ years of total experience in technology, at least 5 of which are in data architecture, data modeling, database design, or a related field.
• Experience leading complex projects involving data products build, data lake, data warehousing, data modeling, and data analysis in financial services domain.
• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (Azure, AWS, GCP), real-time data distribution solutions/approach and modern data platform tools (Snowflake, Databricks, etc.).
• Strong proficiency in SQL, NoSQL, and advanced data modeling tools (e.g., ERwin).
• Deep experience with cloud platforms such as MS-Fabric, Azure and Snowflake, and tools like Data Factory, Power BI, Copilot etc.
• Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques.
• Ability to assess traditional and modern data architecture components, think strategically and relate data architectural decisions and recommendations to consultants, contractors, and internal delivery teams.
• Knowledge of enterprise data governance frameworks and metadata management.
• Excellent communication, presentation, and interpersonal skills.
• Ability to influence and build strong relationships with executive leaders.
• Preferred: relevant certifications (e.g., Certified Data Management Professional, Azure/Fabric Solutions Architect).

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• NoSQL
• SQL

Benefits

• medical
• dental
• vision
• employee assistance program
• life insurance
• disability plans
• parental leave
• paid time off
• 401k
• tuition reimbursement
• flexible workplace that allows for work-life balance
• career growth and retirement assistance
• annual incentive (bonus) plan