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Big Data Architect
Ref No.: 18-04421
Location: St. Louis, Missouri
Job Description:
  • This position is the Architecture leader for a business unit or an operational area within the company and is a visible leader both internal and external.
  • This role will be included in evaluating potential mergers and acquisitions and help drive Magellan to become a global leader in supporting technology to deliver better outcomes to our members.
  • Must be an expert in architecture methods and technologies across multiple platforms.
  • Shown ability to shape and drive strategic vision.
  • Excel at inspiring, motiving and creating highly productive teams.
  • Expert at attracting, hiring and developing a strong bench of talent.
  • Possesses a unique combination of highly evolved technical skills as well as the ability to envision a strategy and be creative in order to realize ambitious goals on behalf of the business.
  • Inspire the organization to create world-class solutions.
  • Must be passionate about supporting the business and company vision.
  • Ability to communicate a clear point of view from a business perspective in strategic discussions with executive leadership.
  • Influence changes and system enhancements to business processes, policies, and infrastructure to deliver the most effective IT services.
  • Manage the selection, evaluation, contracting and integration of externally available hardware, software and processes to deliver business solutions.
  • Direct and manage, through analysis, the planning, design, development, testing, installation and maintenance of support systems for both internal/external clients.
  • Select and build strong teams through formal training, diverse assignments, coaching, mentoring, and other team development techniques, along with regular individual and group meetings.
  • Develop tactical and strategic plans to satisfy technical business needs and new business proposals.
  • Manage and develop project cost estimates, benefits, justification and assessment of potential project risks.
  • Manage projects, staff, customer expectations and business priorities to achieve customer and business unit satisfaction.
  • Manage, plan and track all budgets and expenses.
  • Oversee vendor relationships and projects.
  • Direct and manage business process re-engineering associated with existing, developing and implementation of systems.
  • Develops and maintains strong, cooperative relationships with other IT services groups.
  • Shares and establishes best practices experiences and opportunities throughout the organization.
  • Apply Agile development practices in delivery of transformational programs as required.
  • Design and implement scalable Big Data architecture solutions.
  • Architect, design and implement high performance large volume data integration processes, database, storage and other back-end services in fully virtualized environments.
  • Provide guidance and platform selection advice for common Big Data (Distributed) platforms.
  • Design data flow and processing pipelines for ingestion and analysis using modern toolsets such as Spark on Scala, Kafka, Flume, Sqoop, and others.
  • Develop and recommend Client and innovative - yet proven and demonstrated - approaches to solving business and technical problem using analytics solutions.
  • Design data structures for ingestion and reporting, specific to use case and technology.
  • Provide data management expertise in evaluating requirements and developing data architecture and refining platform components and design.
  • Mentor and guide junior data engineers, DevOps engineers, share best practices and perform code reviews.
  • Collaborate with cross-functional teams to utilize the new big data tools.
  • Actively engage and contribute to the Modern Data Architecture community, and drive new capability forward.
  • Continuous delivery and deployment using Agile Methodologies.
  • BA/BS degree required.
  • TOGAF certification is a plus.
  • Over 10 years of engineering and/or software development experience and demonstrable architecture experience in a large organization.
  • Hands-on experience in Big Data Components/Frameworks such as Hadoop, Spark, Storm, HBase, HDFS, Pig, Hive, Scala, Kafka, PyScripts, Unix Shell scripts.
  • Experience in architecture and implementation of large and highly complex big data projects.
  • Experience of Hadoop and related technologies (Cloudera, Hortonworks, etc.).
  • Experience with data integration and streaming tools used for Hadoop (Spark, Kafka, etc.).
  • Experience in Metadata management, data lineage, data governance, especially as related to Big Data.
  • Experience with cloud platforms (AWS/Azure), including readiness, provisioning, security, and governance.
  • Experience or understanding of Data Science and related technologies (Python, R, SAS, etc.).
  • Experience or understanding of Artificial Intelligence (AI), Machine Learning (Client), and Applied Statistics.
  • History of working successfully with cross-functional engineering teams.

Viren Singh
Direct: 703-889-6697 |