Senior Data Architect - Hybrid

TruStage

1d•Hybrid

About The Position

At TruStage, we’re on a mission to make a brighter financial future accessible to everyone. We put people first, and work hand in hand with employees and customers to create a diverse and inclusive environment. Passionate about building insurance and financial services solutions, we push the boundaries of what’s possible. We need you to help us shape what’s next. You’ll be encouraged to share your experiences, ideas and skills to help others take control of their financial future. Join a team that has received numerous awards for being a top place to work: TruStage awards and recognition Job Summary: 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 a 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 an architectural approach aligned with business goals.

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.

Nice To Haves

relevant certifications (e.g., Certified Data Management Professional, Azure/Fabric Solutions Architect).

Responsibilities

Data Architecture Design & Implementation Establishes the future-state data architecture and blueprints that enable enterprise data needs and ensure that systems are cost and performance optimized.
Establishes modern data platform and toolset that empower enterprise OKRs and establish data as a strategic asset 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.
Collaborates with DevOps and engineering teams to implement data storage and management systems.
Develops and maintains the architectural blueprint for data products , data warehouses, data lakes, and cloud environments.
Creates and maintains 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.
Establishes and oversees 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 Works closely with business units, IT teams, and leadership to align the data architecture with business objectives.
Serves as a technical expert in discussions on data strategy, system design, and best practices.
Leads cross-functional teams within a matrixed organization in implementing data-related projects and system improvements.
Technology Evaluation & Innovation Stays up-to-date with industry trends and emerging technologies in data architecture, management, and analytics.
Develops 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.
Evaluates new tools, platforms, and systems that could enhance the company’s data infrastructure.
Proposes innovative solutions and optimizations to existing data structures, tools, and technologies.
Leads proof-of-concept (POC) initiatives to evaluate new technologies and assess their fit with the company’s goals.
Ensures that the organization’s data architecture adheres to relevant industry regulations and compliance standards.
Proactively assesses and modernizes legacy tools to ensure ongoing focus on tech debt reduction.
Mentorship & Team Development Provides technical leadership and mentorship to junior data engineers and architects.
Offers training and support in best practices for data design, architecture, and governance.
Helps build and develop the data team’s skills, fostering a collaborative and innovative work environment.
The above statement of duties is not intended to be all inclusive and other duties will be assigned from time to time.