• Architect, design, and implement integration solutions using SAP CPI Integration Suite, supporting SAP-to-SAP, SAP-to-non-SAP, non-SAP-to-non-SAP, and cloud integrations. • Develop and maintain integration monitoring frameworks, including the design and coding of automated alert mechanisms for proactive issue detection and resolution. • Collaborate closely with functional teams, business stakeholders, and external partners to gather requirements, define integration strategies, and ensure alignment with business objectives. • Lead integration projects, including requirements analysis, solution design, development, testing, deployment, and documentation. • Ensure integration security, data integrity, and compliance with global standards and regulatory requirements.

• Defining and driving the architectural vision for the client's application ensuring consistency across backend, frontend, and data layers • Leading architecture governance by validating designs, guiding technology choices, and managing technical debt and modernization strategies • Overseeing evolutive maintenance and refactoring initiatives, ensuring platform stability, performance, and maintainability • Providing architectural advisory for client’s application (cloud-native, modular, API-first) while ensuring continuity with the legacy system • Acting as the lead architectural authority, collaborating with stakeholders and contributing to governance, reviews, and strategic decisions • Ensuring security- and privacy-by-design principles and compliance with OIDC/SAML and GDPR/EUDPR requirements • Supporting design and code reviews, technical validations, and migration activities • Contributing to architecture documentation, decision-making (ADR), and Go/No-Go preparation

• Lead the architecture and design of API-led solutions across System, Process, and Experience layers. • Produce HLDs, LLDs, sequence diagrams, API specifications, and integration design artefacts. • Define reusable API patterns, standards, and frameworks aligned to C4EE governance. • Conduct architectural reviews and ensure traceability from business requirements to technical implementation. • Support complex design topics: data modelling, security policies, caching, resilience, event-driven architecture, and RTF networking. • Collaborate with security teams to ensure policy enforcement, encryption, identity, and SC-compliant design. • Oversee NFRs including performance, scaling, high availability, disaster recovery, and observability. • Guide developers and DevOps engineers through build, test, deployment, and operational handover. • Ensure alignment with enterprise platforms including Salesforce, SAP, ServiceNow, AWS/Azure, and data platforms. • Support effort estimation, planning, stakeholder engagement, and technical risk management. • Contribute to the evolution of C4EE playbooks, templates, governance artefacts, and reusable assets.

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. Job Summary As a Data Architect at Empower, you will be a hands-on technical expert and solution shaping architecture contributor, helping design the company’s cloud and data architecture. Partnering with enterprise architects, senior architects, business leaders, and IT teams, you will define solution architectures and support modernization initiatives aligned with Empower’s vision for performance, efficiency, and cost optimization. You will also partner with Empower’s Innovation Lab to explore emerging technologies including Generative AI and Advanced Analytics, translating experimentation into practical patterns and recommendations for delivery teams. You will influence architectural decisions, contribute to team standards and governance, and help elevate technology excellence through consistent, high quality designs. Responsibilities - Partner with Enterprise Architects, Senior Architects, and cross functional teams including business stakeholders to shape solution architectures aligned to a unified IT data strategy. - Contribute to Empower’s technology roadmap by documenting target state architectures, reference architectures, and key dependencies for supported initiatives. - Design and support modernization and migration of complex systems to scalable, secure, and cost optimized cloud architectures, working with delivery teams through implementation. - Evaluate and prototype new technologies and applications, challenge existing approaches constructively, and provide input into business cases and recommendations. - Apply and help operationalize architectural standards, best practices, and governance expectations, supporting consistent adoption through guidance and enablement. - Collaborate closely with business and engineering teams to design end to end solutions that meet strategic, technical, and operational objectives. - Provide architectural guidance in process design, system orchestration, and enterprise integration to enable cohesive and efficient technology ecosystems. - Champion security, resilience, and scalability as core design principles across data platforms and data solutions. - Contribute to architecture discipline maturity by producing reusable patterns, decision documentation, and lessons learned that improve consistency and delivery speed. - Support full stack development teams through solution design and implementation, improving long term scalability, performance, and cost outcomes. Required Skills - At least 5 years of experience delivering data-intensive solutions (for example in data engineering, analytics engineering, data platforms, BI, or related roles). - At least 1 year of demonstrated solution design ownership for moderately complex initiatives, gained as an architect or as a senior engineer/technical lead responsible for end-to-end design, architectural trade-offs, and guiding implementation. - Proven experience in multiple data focused roles including Data Engineer (ETL/ELT), Data Architect, Database Administrator, BI or Analytics Engineer, Data Science, data governance, or a similar field. - Competency in architecture frameworks, performance optimization, and addressing cross cutting concerns including availability, caching, monitoring, scalability, and security. - Strong problem solving and strategic thinking, with the ability to influence cross functional teams and communicate architecture decisions clearly in distributed environments. - Strong expertise in designing data and cloud architecture, AWS preferred, supporting scalability, performance, and security with systems such as Snowflake or Redshift. - Proven ability to translate complex data into actionable business insights and reporting solutions that provide comprehensive and up to date information to business users. - Bachelor’s degree in Computer Science, Information Systems, or related discipline, or equivalent practical experience. Nice to Have Qualifications - Data engineering experience designing and delivering ETL and ELT pipelines, including orchestration, data quality controls, and reliable operations for batch and near real time workloads. - Streaming and event driven data experience building and operating Kafka or Kinesis based architectures including ordering, replay, schema evolution, and real time observability. - API and integration experience designing API first data access patterns, API lifecycle governance, versioning, security, and developer enablement, plus event driven integration patterns to reduce point to point complexity. - Data platform modernization experience designing large scale ingestion and processing platforms using Spark or comparable distributed compute and orchestrating reliable batch and near real time pipelines. - Data security and privacy experience implementing encryption, masking or tokenization, access controls, and auditability patterns for sensitive data and regulated environments. - Cloud cost and performance experience applying FinOps practices, workload right sizing, storage optimization, and performance engineering for cloud data platforms. - DevOps for data experience building CI/CD for data pipelines, infrastructure as code practices, and container platforms such as Kubernetes or EKS for data workloads. - Applied AI and GenAI experience designing safe enterprise patterns for retrieval, evaluation, monitoring, and responsible AI adoption. - Broad polyglot engineering experience with Java, microservices patterns, and third party API integrations that support data intensive services. - Certifications such as AWS Certified Solutions Architect (Associate or Professional). Education - Bachelor’s and/or master’s degree in computer science or related field (information systems, mathematics, software engineering, etc.) Physical Requirements/Working Conditions - Normal Office Working Conditions We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.