
Senior Data Architect - Big Data (AWS)
RackspacePosted 4/9/2025

Senior Data Architect - Big Data (AWS)
Rackspace
Job Location
Salary Range
Job Summary
We are seeking a Senior Data Architect - Big Data (AWS) to lead the design and implementation of modern data platforms in support of analytics and AI use cases. The ideal candidate will have 5+ years of experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (Ideally AWS) and hybrid architectures. They will collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to identify and define required data structures, formats, pipelines, metadata, and workload orchestration capabilities. The Senior Data Architect will also be an AWS evangelist by educating customers on the value of AWS and its Data services, and will travel up to 50% of the time. We are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. Join us on our mission to embrace technology, empower customers and deliver the future.
Job Description
What you’ll be doing:
- Lead, define and implement end-to-end modern data platforms in support of analytics and AI use cases
- Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
- Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
- Be the technical liaison between customers and engineering teams
- Directly collaborate with the sales team to formulate and execute a sales strategy to facilitate the adoption of AWS and big data technologies and help build offerings
- Be an AWS evangelist by educating a variety of customers on the value of AWS and AWS’s Data services
- Traveling up to 50% of the time
Qualifications & Experience:
- 5+ years experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (Ideally AWS) and hybrid architectures to enable use cases in analytics and AI
- 5+ years experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
- 3+ years experience with analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor based analytics
- 3+ years working in the cloud or multi-server complex environments. Experience with AWS a requirement.
- Ability to simplify complex technical concepts into an easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders
- Experience with Agile development methods in data-oriented projects
Strong candidates will also have some of the following capabilities:
- Strong SQL, Database, Data Modeling, Data Warehousing and Development skills
- Strong programming / scripting experience using various languages such as Java, .NET, Python, Scala, Javascript, etc.
- Experience in Cloud Big Data & Analytics Services on the cloud (AWS preferred ie. S3, Redshift, Athena, EMR, Glue, Quicksigh,, etc.)
- Experience with Dashboarding and Reporting Tools used in the Industry (Tableau, Qlik, etc.)
- Experience with industry ETL tools (Informatica, Talend, SSIS, etc.)
- Have strong people management skills: leading teams, training, onboarding, offboarding, etc.
- Certifications in architecture, data engineering and development from AWS (Preferred)
- Subject matter data expertise in Financial Services (Banking, Insurance), Consumer Products (Retail), Energy & Resources, Life Sciences (Healthcare) and Government (Transport, Higher Ed, Social Services) industries
- Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments
- Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, powershell, Bitbucket, etc.
Educational Qualifications:
- Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or a related field is desired