Overview
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
About Rackspace Technology
