Data Architect II

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. This role also focuses on building modern robust and scalable data architecture approach, enhancing data strategy, and supporting data-driven business decisions. As a senior member of the team, the Data Architect also provides technical guidance and mentorship to junior team members and works closely with cross-functional teams to ensure architectural approach and alignment with business goals. Job Responsibilities

Establish the future-state data architecture and blueprints that enables enterprise data needs and ensures that systems are cost & Performance optimized.

Establish Modern data platform & toolset that empowers enterprise OKRs and establish data as strategic assets for business growth.

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

Oversees the determination of enterprise data storage approach and defines strategies for reuse of existing data to meet broader project needs.

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.

Collaborate with DevOps and engineering teams to implement data storage and management systems.

Develop and maintain the architectural blueprint for data products, data warehouses, data lakes, and cloud environments.

Create and maintain comprehensive documentation of data architecture, models, and data flows. Data Governance & Quality Management

Incorporates data & AI governance principles into architectural decisions, ensuring that data management practices adhere to organizational policies.

Establish and oversee Data Lineage and data quality standards, including data cleaning, validation, and monitoring processes.

Ensures that data security measures, such as access control and encryption, are appropriately implemented for sensitive data. Collaboration & Stakeholder Engagement

Work closely with business units, IT teams, and leadership to align the data architecture with business objectives.

Serve as a technical expert in discussions on data strategy, system design, and best practices.

Lead cross-functional teams within Matrix organization in implementing data-related projects and system improvements. Technology Evaluation & Innovation

Stay up to date with industry trends and emerging technologies in data architecture, management, and analytics.

Develop in-depth knowledge of AI/Gen-AI impacts on Data engineering & management capabilities and work with AI/Innovation team to bring most relevant AI led intervention for Data teams. Evaluate new tools, platforms, and systems that could enhance the company's data infrastructure.

Propose innovative solutions and optimizations to existing data structures, tools, and technologies.

Lead proof-of-concept (POC) initiatives to evaluate new technologies and assess their fit with the company's goals.

Ensure that the organization's data architecture adheres to relevant industry regulations and compliance standards.

Proactively assess and modernize Legacy tools ensure ongoing focus on tech debt reduction.

Provide technical leadership and mentorship to junior data engineers and architects.

Offer training and support in best practices for data design, architecture, and governance.

Help build and develop the data team's skills, fostering a collaborative and innovative work environment.

Expert in Microsoft stack - Fabric, Databricks, Snowflake etc.

Practical experience building MVPs in Agentic AI for Data Management

Strong communication and Interaction skills, Bachelor's degree in computer science, information systems, or related field, or equivalent combination of education and/or related professional work experience.

8+ years of total experience in technology, at least 6 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 (eg, 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 (eg, Certified Data Management Professional, Azure/Fabric Solutions Architect) are a plus. Location WI, United States of America