Senior Data Architect

Responsibilities

• Define and maintain the enterprise data platform blueprint, including ingestion, storage, processing, serving, governance, and security.
• Design, model, and simulate complex business processes using BPMS tools and workflow frameworks.
• Establish and govern architectural standards, including data contracts, service-level objectives, access controls, and privacy-by-design principles.
• Develop enterprise and domain reference architectures to support scalability, interoperability, and reuse.
• Design and modernize systems into cloud-compatible or cloud-native architectures, including migration strategies.
• Lead architecture reviews for complex or high-risk initiatives, evaluate trade-offs, and mitigate technical and compliance risks.
• Develop process architecture artifacts, including workflow diagrams, functional maps, and cross-functional process models.
• Recommend and implement best practices for process orchestration, workflow design, and system integration.
• Align data and process architecture with enterprise architecture, security, IAM, networking, and FinOps practices.

Requirements

• Bachelor's degree in computer science, information systems, engineering, mathematics, business, or equivalent experience.
• 9-12 years of experience in data engineering, platform engineering, software architecture, or related technical roles.
• At least 5 years of experience working within Agile software development environments.
• Extensive experience leading data or solution architecture across multiple domains or enterprise platforms.
• Strong expertise in modern data architectures, including data lakes, data warehouses, lakehouses, and streaming platforms.
• Experience with business process management systems and workflow modeling tools.
• Knowledge of microservices architecture and development, such as Java, Node.js, Scala, and serverless frameworks.
• Experience with multiple data storage technologies, including SQL, NoSQL, and graph databases.
• Strong experience with cloud platforms, such as AWS, Azure, or GCP, and cloud-native design.
• Excellent communication skills with the ability to influence senior stakeholders.
• What will set you apart:
• Familiarity with infrastructure-as-code tools, such as Terraform and CloudFormation.
• Understanding of CI/CD pipelines and DevOps practices.
• Experience with ETL processes and large-scale data processing frameworks, such as Spark.
• Knowledge of containerization technologies, including Docker, Kubernetes, and ECS.
• Strong understanding of data governance, security, and privacy principles.
• Proven ability to define architectural standards and influence enterprise-wide adoption.
• This job operates in a professional office environment.

Benefits

Additional Information

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT. The Senior Data Architect will define and govern enterprise data architecture strategy while designing scalable, cloud-native business process solutions that align with organizational objectives. This role will establish architectural standards, reference models, and governance frameworks that enable secure, cost-efficient, and high-performing data and workflow ecosystems. The Senior Data Architect will partner with business and technology leaders to translate strategic goals into integrated data and process architectures, lead complex initiatives, influence enterprise technology direction, and ensure interoperability across platforms.

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