CUNA Mutual Group Logo

CUNA Mutual Group

Senior Data Architect - Hybrid

Posted 23 Days Ago
Remote
Hiring Remotely in USA
136K-203K Annually
Senior level
Remote
Hiring Remotely in USA
136K-203K Annually
Senior level
The Data Architect II designs and manages data architecture, ensuring data governance and quality across platforms. Responsibilities include integrating data systems, enhancing data strategy, and mentoring junior team members.
The summary above was generated by AI

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.

Job 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.

Job 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).

#LI-SW

If you’re ready to help make a difference, apply today.  A resume is required to apply. TruStage may process applicant information using an Artificial Intelligence (AI) tool.  This tool automatically generates a screening score based on how well applicant information matches the requirements and qualifications for the position. TruStage recruiters use the screening score as a guide to further evaluate candidates; the score is one component of an application review and does not automatically determine whether a candidate moves forward.  Candidates may choose to opt out of this process.

Compensation may vary based on the job level, your geographic work location, position incentive plan and exemption status.

 

Base Salary Range:

$135,500.00 - $203,300.00

 

At TruStage, we believe a sound, inclusive benefits program is of vital importance, along with a flexible workplace that allows for work-life balance, career growth and retirement assistance. In addition to your base pay, your position may be eligible for an annual incentive (bonus) plan.  Additional benefits available to eligible employees include medical, dental, vision, employee assistance program, life insurance, disability plans, parental leave, paid time off, 401k, and tuition reimbursement, just to name a few. Beyond pay and benefits, we also recognize that flexibility, including working in a place you prefer, is essential to caring for our employees.  We will continue to strive to offer flexibility and invest in technology and other tools that will make hybrid working normal rather than an exception, so that when “life happens,” you can focus on what’s most important.

Accommodation request

TruStage is a place where everyone can bring their best self and thrive. If you need application or interview process accommodations, please contact the accessibility department.

Top Skills

AWS
Azure
Copilot
Data Factory
Databricks
Erwin
GCP
Ms-Fabric
NoSQL
Power BI
Snowflake
SQL

Similar Jobs

9 Hours Ago
Remote
United States
Senior level
Senior level
AdTech • Big Data • Digital Media • Marketing Tech • Database • Automation
The Solutions Engineer will lead technical strategies for customer engagements, collaborating with sales teams to design identity and data solutions, ensuring customer adoption and satisfaction through innovative architecture and workflows.
Top Skills: APIsCloud ComputingData PipelinesData SchemasSQL
9 Hours Ago
In-Office or Remote
184K-253K Annually
Senior level
184K-253K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Lead growth initiatives and partnerships in the US Domestic aerospace and defense sectors, focusing on business development and customer engagement.
Top Skills: Microsoft Office SuiteSalesforce
15 Hours Ago
Remote or Hybrid
160K-205K Annually
Senior level
160K-205K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
The Director of Analytics & AI Solutions defines and executes product strategy for analytics and AI solutions to aid decision-making across Studio Distribution, collaborating closely with business and engineering teams.
Top Skills: AIAnalyticsBi ToolsMicrostrategyPower BISalesforceTableau

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account