Data Solutions Architect

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Company: Saxon Global

Location: Lincoln, RI 02865

Description:

We want a candidate who has previous experience in standing up a data architecture practice, have a strong experience with
  • AWS
  • data lake
  • Data warehousing solutions
  • And can lead driving the solutions end to end and provide directions to engineering and other tech teams on the solutions.


Requirements -
  • Bachelor's degree in data management, computer science, information systems, mathematics, data/analytics or a related field preferred or equivalent work experience
  • At least 3-4 years of work experience in data management disciplines including data integration, data modeling, solutions architecture, optimization and data quality
  • Knowledge of business systems and processes and their impact on data and analytics objectives
  • Ability to assess rapidly changing technologies and apply them to business needs
  • Business domain, data/content and process understanding
  • Understanding of the Business Intelligence, Data Engineering and Data Science and Data Governance processes and platforms
  • Thorough knowledge of relational and non-relational database theory and structured query language (SQL)
  • Understanding of common data architecture frameworks
  • Understanding of metadata models, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources
  • Skilled working across multiple deployment environments including cloud, on-premises and hybrid
  • Adept at applying software engineering methodologies and DevOps principles to data architectures and platforms to improve the communication, integration, reuse and automation of data flows across the organization
  • Exceptional analytical, quantitative and logical problem-solving abilities
  • Must be highly creative, collaborative, and able to communicate effectively with IT and business
  • Capacity to be productive when working independently or collaboratively
  • Ability to effectively manage time to handle competing high priority projects


Lead and Principal Positions Requirements (in addition to requirements above)
  • Significant experience in successfully launching, planning, executing data architecture projects
  • Strong employee development skills, which include onboarding, mentoring, and coaching staff
  • Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers
  • Proven ability to establish the strategic direction of a team and manage analytics projects
  • Persuasive with excellent interpersonal skills and the ability to interact effectively with others, including team members and senior management
  • Skilled in all areas of analytics personnel management, particularly employee selection, training, performance evaluation and salary development

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