Big Data Principal Architect

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Big Data Principal Architect is responsible for driving the database on a large scale, including the structuring and analyzing the behavior of data in order to make the right business decision. The Goal is to support identification of data gaps, build new data pipelines, and provide automated solutions to deliver advanced analytics capabilities to support operations. Key Focus would be to provide the framework that appropriately addresses the Big Data needs of the company across all aspects of data usage and technical and cloud Azure Data Product concerns.

• Carry out requirement analysis, platform & big data model selections, and design of the technical architecture.
• Conduct application design and development, testing, and deployment of the proposed solution
• Prepares design for data products and data usage eco- systems and recommends improvements for performance
• Designs and implements scalable data solutions in keeping with architectures leveraging emerging technologies

Job Responsibilities

• Leads the creation of or creates design documents that ensure consistency in development across the IT organization. Leads the definition of software architecture to ensure that the IT organization's software solutions are built within a consistent framework.
• Leads the decision-making processes related to the selection of software architecture solutions.
• Serves as a technical and business-savvy resource to software engineering personnel on a wide range of software design issues.
• Implements and improves core software infrastructure. Participates in improving software development lifecycle, technical operations and technology innovation.
• Develops technical / business approaches and new or enhanced technical tools.
• Shares highly-complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions.
• Anticipates and prevents problems and roadblocks before they occur.
• Performs systems and applications performance characterization and trade-off studies through analysis and simulation.
• Leads development teams on projects to guide timely and accurate delivery of new features or technical improvements.
• Develops the technical “vision” and designs specifications of assigned projects and may perform as implementation lead.
• Mentors less experienced members of the team. Leads teams / projects and implementations.
• Provides subject matter expertise to less experienced team members. May participate in teaching and training members of work team.
• May represent IT Technology in internal or external forums.

Basic Qualifications

• Bachelor's degree and at least 6 years of experience in an IT engineering role OR High school / GED and at least 9 years of experience in an IT engineering role.
• At least 4 years of leadership experience in server side or client side technologies
• Experience in domain-specific architecture concepts and emerging technologies. (Design patterns, frameworks, current Java based solutions, mobile, OR Infrastructure Administration OR Data Sciences)
• At least 2 year of experience in domain-specific Architecture.
• Experience working with matrix teams including teams in different time zones
• Experience creating and promoting guiding development principles and influencing development teams, business users and management in adoption of technical solutions.
• Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications

• Master's Degree in Computer Science, Information technology, Engineering, Science, or Math.
• Experience working on big data architectural solutions.
• 3+ years of experience in large scale graph modeling techniques, nosql unstructured data product usage
  3+ years of experience in large scale data product & API definitions using big data techniques