Data Architect in Alpharetta, GA at HUNTER Technical Resources

Date Posted: 2/10/2021

Job Snapshot

Job Description

Responsibilities:

  • Create, maintain and implement architectural views and diagrams for the current and future state of all data assets.
  • Define the system, technical, and application architectures for major areas of development and recommend course of action to maintain cost effectiveness and competitiveness.
  • Stay up-to-date on business initiatives and objectives, particularly as these relate to infrastructure and data architecture issues.
  • Research and implement best practices for data design, data integration, data flow and all aspects of data analytics that will drive innovation, provide quality and control costs.
  • Research new technology and development tools and frameworks to remain abreast of current and emerging technology.
  • Drive software design for agile software teams, including providing patterns, design diagrams and team direction and mentorship.
  • Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

Requirements:

  • Bachelor Degree required or equivalent military experience
  • 9+ years of experience and proficiency in the following:
  • Relational Database Design and Architecture
  • Knowledge of various data domains such as data warehousing, analytics, business intelligence, big data, operational data stores, master data management and unstructured data
  • Experience delivering data solutions in a SaaS environment
  • Data integration experience in ETL, ELT, Streaming and Pub/Sub
  • Experience in SOA and Restful API architectures, with thorough understanding of web services
  • Delivery of Analytics and Business Intelligence presentation technologies (Power BI, Tableau, Looker, etc)
  • 3+ years experience and proficiency in the following:
  • Big data technologies such as Hadoop, Spark, Hive, Kafka, Data Lake, etc
  • Odata web services
  • Experience with web technologies and embedded analytics
  • Experience with Service Oriented, N-Tier, Layered and Micro-Services Architectures
  • Experience with Cloud Data and Software Architecture as well as implementing cloud native solutions in a large public cloud (Azure, AWS, GCP).
  • Ability to build and maintain enterprise data models