Big Data Architect

Job Description
Job Description
Responsibilities:
• Validate the reference architecture and provide details and shared ownership for the architecture of our next generation data warehousing system, leading and working hands-on towards implementation and delivery to production
• Help lead the charge on a data warehouse/operational data store strategy, ensuring rapid delivery while taking responsibility for applying standards, principles, theories, and concepts
• Responsible for design and delivery of data models, which power BI initiatives, dashboards, syndicated reporting, and ad-hoc data exploratory canvases for IMS solutions
• Work with data architects on the logical data models and physical database designs optimized for performance, availability and reliability
• Tuning and optimization of backend and frontend data operations
• Serve as a query tuning and optimization technical expert, providing feedback to team
• Design and develop ETL and master data management processes
• Scripting and automation to support development, QA and production database environments and deployments to production
• Define and help enforce data governance and security policy
• Mentors development team members
• Proactively helps to resolve difficult technical issues
• Provide technical knowledge to teams during project discovery and architecture phases
• Keep management informed of work activities and schedules
• Assess new initiatives to determine the work effort and estimate the necessary time-to-completion
• Document new development, procedures or test plans as needed
• Participate in data builds and deployment efforts
• Participate in projects through various phases
• Performs other related duties as assigned
• Partner with the business units to develop effective solutions that solve business challenges
Required Experience (in order of importance):
• Hadoop, Hive, Impala, and related technologies
• Spark
• MPP, shared nothing database systems, NoSQL systems
• Lambda architectures
• Linux
• Data Warehousing design and concepts
Minimum Education, Experience, & Specialized Knowledge Required:

• Computer Science Degree
• 5+ years strong native SQL skills
• 5+ years strong experience in database and data warehousing concepts and techniques. Must understand: relational and dimensional modeling, star/snowflake schema design, BI, Data Warehouse operating environments and related technologies, and ETL, MDM, and data governance practices.
• 5+ years experience working in Linux
• 3+ years experience with Hadoop, Hive, Impala, HBase, and related technologies
• 2+ years strong experience with low latency (near real time) systems and working with Tb data sets, loading and processing billions of records per day
• 1+ years experience with MapReduce/YARN
• 1+ years experience with Spark
• 1+ years experience with Lambda architectures
• 1+ years experience with MPP, shared nothing database systems, and NoSQL systems
• Ability to work in a fast-paced, team oriented environment
• Ability to complete the full lifecycle of software development and deliver on time
• Ability to work with end-users to gather requirements and convert them to working documents
• Strong interpersonal skills, including a positive, solution-oriented attitude
• Must be passionate, flexible and innovative in utilizing the tools, their experience, and any other resources, to effectively deliver to very challenging and always changing business requirements with continuous success
• Must be able to interface with various solution/business areas to understand the requirements and prepare documentation to support development
• Healthcare experience is a plus

Qualifications
Bachelors Degree

Additional Information
All your information will be kept confidential according to EEO guidelines.