Data Analytics Architect

The Data Analytics Architect collaborates with business and engineering subject matter experts to translate complex data analytics requirements into high performance system architectures. He/she documents the architecture and design, technical requirements, HW and SW requirements, and works with the engineering and infrastructure teams to ensure successful implementation and operation of big data and analytics systems. This person will also participate in and lead proof of concept activities in a broad range of big data and analytics activities across the enterprise.

A strong candidate will have:
• Experience in requirements engineering, solutions architecture, development and deployment of highly scalable systems
• Technical skills and knowledge across a broad range of hardware, software, and networking systems
• Demonstrated experience with big data systems
• Experience with hands on software development
• Strong communication skills
• Strong problem-solving skills
• Strong team leadership, mentorship and collaboration skills

Responsibilities
• Develop and maintain architecture policies, practices and standards to ensure consistent adoption across the enterprise
• Design, develop and execute analytics and big data solutions to address complex business needs
• Evaluate and recommend tools, technologies and processes to ensure the highest quality product platform
• Collaborate with business and technology stakeholders to determine functional and non-functional requirements
• Effectively communicate all concepts and guidelines to development team
• Oversee progress of development teams to ensure consistency with design
• Provide technical guidance and coaching to developers and engineers
• Ensure analytics and big data meets all requirements of quality, security, supportability, extensibility etc.

Qualifications
Minimum Requirements
• 5+ years of technical solutions architecture experience
• 5+ years in software development (Java, C/C++, Python) in a Linux environment
• Experience with Big Data systems such as Hadoop/Cloudera, MapReduce, Spark, Hive 
• Demonstrated experience using SOA to solve complex business requirements
• Experience with RDBMS and NOSQL databases such as Oracle RAC, Postgres, MongoDB

Additional Preferred Qualifications
• Bachelor’s degree in computer science, engineering or relevant field
• Experience with enterprise business intelligence systems a plus (e.g., Domo, Cognos, Power BI)
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