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).

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata modelingdatabase designdata integrationSQLNoSQLcloud servicesreal-time data distributiondata warehousingdata analysis

Soft Skills

communicationpresentationinterpersonal skillsinfluencerelationship buildingmentorshipstrategic thinkingcollaborationleadershipalignment with business goals

Certifications

Certified Data Management ProfessionalAzure Solutions ArchitectFabric Solutions Architect