Senior Data Architect

Summary

Join Rackspace Technology as a Big Data Architect and lead the design and implementation of modern data platforms for analytics and AI. Collaborate with cross-functional teams to define data structures, pipelines, and metadata. Address data privacy, security, ingestion, processing, storage, and consumption. Serve as a technical liaison between customers and engineering, collaborating with sales to drive AWS and big data adoption. Educate customers on the value of AWS data services and travel up to 50% of the time. This role requires extensive experience in big data frameworks, cloud architectures (AWS preferred), data modeling, and Agile development. Strong communication and problem-solving skills are essential.

Requirements

• 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
• Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or a related field is desired

Responsibilities

• 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

Preferred Qualifications

• 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 2(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