Big Data Architect
|Job Title:||Big Data Architect|
|Salary:||US$140000.00 - US$155000.00 per annum|
|Contact Name:||Tim Tirabassi|
|Job Published:||May 09, 2019 15:56|
For every hour patients wait for care, they face objectively worse outcomes. Our client believes it is unacceptable that patients are not able to access the care they need, when they need it, due to operating inefficiencies and unnecessary cost barriers. Our mission is simple, to ensure no one waits for the care they need. Named one of Becker's "Great Places to Work" and a Pittsburgh Business Times â€œCorporate Citizenship Awardâ€ winner, our client delivers extraordinary outcomes that have been the subject of study by the RAND Corporation, and is the perennial KLAS Patient Flow Category Leader.
The Big Data Architect leads the architecture and design of our client's Data Platform in alignment with our client's vision of providing a unified data solution: aggregating customer and healthcare operational data, and providing easy access to powerful insights. As such, this position will be responsible for the technical and security architecture of the software applications, as well as the supporting infrastructure. This position will help drive quality, reliable, secure applications, using industry standard best practices.
PRIMARY DUTIES AND RESPONSIBILTIES
Lead a development team of big data designers, developers, data scientists, and DevOps
Implement a big data enterprise warehouse, BI and analytics system using Hive, Spark, RedShift, EMR (Hadoop), and S3
Develop and maintain processes to acquire, analyze, store, cleanse, and transform large datasets using tools like Spark, Kafka, Sqoop, Hive, NiFi, and MiNiFi
Provide recommendations, technical direction and leadership for the selection and incorporation of new technologies into the Hadoop ecosystem
Participate in regular status meetings to track progress, resolve issues, mitigate risks and escalate concerns in a timely manner
Contribute to the development, review, and maintenance of product requirements documents, technical design documents, and functional specifications
Help design innovative, customer-centric solutions based on deep knowledge of large-scale, data-driven technology and the healthcare industry
Help develop and maintain enterprise data standards, best practices, security policies and governance processes for the Hadoop ecosystem
Bachelor's in computer information technology, computer science, management systems or related discipline required; Master's preferred
Four-year degree in Computer Science/Software Engineering or related degree program, or equivalent application development, implementation and operations experience.
Advanced study or degrees such as Master's degree in Business (MBA), Masters, PhD., in Computer Science/Software Engineering or a related scientific degree program is preferred
Minimum 5+ years of experience in large systems analysis and development, addressing unique issues of architecture and data management. Has the experience to work at the highest technical level of all phases of systems analysis and development activity, across the full scope of system development cycle
4+ years related experience on data warehousing and business intelligence projects
3+ years implementation or development experience with the Hadoop ecosystem
Working knowledge of the entire big data development stack
Experience handling very large data sets (10's of terabytes and up preferred)
Experience with secure RESTful Web Services
Highly proficient with Java/Scala application development
Expert in Apache Spark infrastructure and development
Experience with Sqoop, Spark, Hive, Kafka, and Hadoop
Experience with automated testing for Big Data platforms
Experience with best practices for data integration, transformation, governance and data quality
Experience with developing, designing and coding, completing programming and documentation, and performing testing for complex ETL applications (Spark & Scala preferred)
Experience with Agile software development process and development best practices
Experience with Big Data text mining and big Data Analytics preferred
Understanding of Big Data Architecture along with tools being used on Hadoop ecosystem
Ability to lead tool suite selection and lead proofs of concepts
Ability to share ideas among a collaborative team and drive the team based on technical expertise and sharing best practices from past experience
Strong understanding and experience executing several software development methodologies and life cycles. Ability to understand and translate business requirements into technical specifications.
Ability to negotiate with and influence senior management. Ability to lead and influence across departments and across levels of leaderships both internally and with customers.
Â Proven ability to organize/manage multiple priorities coupled with the flexibility to quickly adapt to ever-changing business needs.
Excellent written and oral communication skills. Adept and presenting complex topics, influencing and executing with timely / actionable follow-through.
Strong analytical and problem-solving skills with the ability to convert information into practical training deliverables. Uses rigorous logic and methods to solve difficult problems.
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