Senior Aws Cloud Data Architect

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 At Empower a Sr Architect is a mix of leadership position and thought leadership role A Sr Architect works with enterprise architects and both business and IT teams to align solutions to the technology vision they help create This role supports enterprise Architects in the development of technology strategies reference architectures solutions best practices and guidance across the entire IT development organization all the while addressing total cost of ownership stability performance and efficiency The candidate will also be working with Empower Innovation Lab team as the team is experimenting with emerging technologies such as Generative AI and Advanced Analytics In this rapid paced environment the person must possess a can-do attitude while demonstrating a strong work ethic This person should have a strong aptitude to help drive decisions He or she will be actively involved in influencing the strategic direction of technology at Empower Retirement There will be collaboration across all teams including IT Infrastructure PMO office Business and third-party integrators in reviewing evaluating designing and implementing solutions The Architect must understand available technology options and educate and influence technology teams to leverage them where appropriate The Architect will recognize and propose alternatives make recommendations and describe any necessary trade-offs In some cases particularly on key initiatives the Architect will participate on the design and implementation of end-to-end solutions directly with development teams The ideal candidate will leverage their technical leadership direction-setting skills with the development organization to be able to prove technical concepts quickly using a variety of tools methods frameworks Responsibilities Help Enterprise Architect work with peer Sr Architects and more junior resources to define and execute on the business aligned IT strategy and vision Develop document and provide input into the technology roadmap for Empower Create reference architectures that demonstrate an understanding of technology components and the relationships between them Design and modernize complex systems into cloud compatible or cloud native applications where applicable Create strategies and designs for migrating applications to cloud systems Participate in the evaluation of new applications technical options challenge the status quo create solid business cases and influence direction while establishing partnerships with key constituencies Implement best practices standards guidance then subsequently provide coaching of technology team members Make leadership recommendations regarding strategic architectural considerations related to process design and process orchestration Provide strong leadership and direction in development engineering practices Collaborate with other business and technology teams on architecture and design issues Respond to evolving and changing security conditions Implement and recommend security guidelines Provide thought-leadership advocacy articulation assurance and maintenance of the enterprise architecture discipline Provide solution guidance and implementation assistance within full stack development teams Recommend long term scalable and performant architecture changes keeping cost in control Preferred Qualifications 14 years of experience in the development and delivery of data systems This experience should be relevant to roles such as Data Analyst ETL Extract Transform and Load Developer Data Engineer Database Administrator DBA Business Intelligence Developer BI Engineer Machine Learning Developer ML Engineer Data Scientist Data Architect Data Governance Analyst or a managerial position overseeing any of these functions 3 years of experience creating solution architectures and strategies across multiple architecture domains business application data integration infrastructure and security Solid experience with the following technology disciplines Python Cloud architectures AWS Amazon Web Services Bigdata 300 TBs Advanced Analytics Advance SQL Skills Data Warehouse systems Redshift or Snowflake Advanced Programming NoSQL Distributed Computing Real-time streaming Experience in Data Architecture - Data Modeling - Cost Management - Disaster Recovery Planning - CICD - Data Encryption - Data Obfuscation Masking - Dashboards and Visualizations Generative AI Machine Learning - Understanding of generative artificial intelligence and machine learning to develop advanced predictive models and automate decision-making processes Understanding of machine learning algorithms deep learning frameworks and AI model architectures Understanding of ethical AI principles and practices Experience implementing AI transparency and explainability techniques Knowledge of popular RAG frameworks and tools e g LangChain LlamaIndex Familiarity with fairness metrics and techniques to mitigate bias in AI models Sample technologies Cloud Platforms - AWS preferred or Azure or Google Cloud Databases - Oracle Postgres MySQL preferred RDS DynamoDB preferred Snowflake or Redshift preferred Data Engineering ETL ELT - Informatica Talend Glue Python must Jupyter Streaming - Kafka or Kinesis CICD Pipeline - Jenkins or GitHub or GitLab or ArgoCD Business Intelligence - Quicksight preferred Tableau preferred Business Objects MicroStrategy Qlik PowerBI Looker Advanced Analytics - AWS Sagemaker preferred TensorFlow PyTorch R scikit learn Monitoring tools - DataDog preferred or AppDynamics or Splunk Bigdata technologies - Apache Spark must EMR preferred Container Management technologies - Kubernetes EKS preferred Docker Helm Preferred Certifications AWS Solution Architect AWS Data Engineer AWS Machine Learning Engineer AWS Machine Learning EDUCATION Bachelor s and or master s degree in computer science or related field information systems mathematics software engineering 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