Data Solutions Architect (Passive Hiring)

Xentity Corporation

$119K — $148K *
US-AnywhereRemote in Colorado, US
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field, or equivalent experience.
  • 10+ years of relevant experience; at least 5 years in a Data Solutions Architect role.
  • Strong understanding of data architecture, data integration, and service architecture.
  • Experience with data warehouses, ETL/ELT processes, and both SQL and NoSQL databases.
  • Ability to pass background and security checks.

Responsibilities

  • Conduct research and execute proofs of concept for data integration.
  • Facilitate business process modeling and capture process/data flows.
  • Collaborate with data analysts to manage the CDO data inventory system.
  • Act as product owner for data services to ensure alignment with business priorities.
  • Document business processes and data requirements throughout development.
  • Work within an agile project team to ensure successful delivery.
  • Coordinate training and documentation for end-users.

Benefits

  • Remote work flexibility for U.S. residents.
  • Collaborative environment focused on innovation in data solutions.
  • Exposure to cutting-edge technologies in big data and IoT domains.
Full Job Description
Data Solutions Architect (Passive Hiring)
Job Type: Full-Time
Labor Category: TECH
Location: Remote
Salary Range: 119k-148k

In this role, you will act as both an Information Systems Architect and a Data Services Architect, managing the discovery, design, and development of data services that enable seamless integration and robust accessibility. You'll collaborate closely with business units, analysts, and IT teams to capture requirements, craft innovative solutions, and ensure the successful adoption of data services through thoughtful transition planning and training.

Responsibilities:
  1. Information Systems Architect
    • Conduct research, execute proofs of concept, and initiate projects for data integration and enablement.
    • Facilitate sessions for business process modeling and capture process/data flows.
    • Collaborate with data analysts to map and capture data in the CDO inventory management system.
    • Plan and create recommendations for data integrations with business systems, aligning with the CDO roadmap.
  2. Data Services Architect
    • Act as the product owner for the development of data services that enable data awareness, access, and integration, ensuring alignment with the client's business priorities and IT policies.
    • Understand, capture, and document business processes and associated data requirements prior to and during application development.
    • Work closely with business units to understand their data, use cases, and user acceptance of the developed data services.
    • Collaborate in an agile project team with a matrixed delivery organization consisting of client IT resources, department resources, consulting resources, and members of the Chief Data Office.
  3. Transition Planning
    • Coordinate the creation of end-user documentation, training materials, and demonstrations as appropriate.
    • Refine and execute training, including train-the-trainer initiatives, in accordance with the CDO strategy.

Technical Skills:
  • Service Architecture: SaaS, IaaS, PaaS, Microservices, SOA, BPMN, Serverless, DevOps, CI/CD.
  • Data Architecture: Data warehousing, ETL/ELT, Data pipelines, SQL and NoSQL Databases, Data Lakes.
  • Software Experience: API Management Platforms (Apigee, MuleSoft, Swagger), ERP (SAP), CRM (Salesforce).
  • Other Preferred Skills: Agile/Scrum, SQL, Scripting (Python), Programming (Java, JavaScript, Go, Closure).
  • Team Tools: Jira, Trello, Rally, Google Suite, MS Office Suite, MS Project, MS Visio.

Soft Skills:
  • Client Relationship: Strong interpersonal skills, understanding, empathy, and the ability to maintain relationships across diverse backgrounds.
  • Goal-Driven: Sets clear, realistic goals, demonstrates initiative, and works independently to achieve results.
  • Communication: Excellent communicator with the ability to convey complex information clearly and effectively to both technical and non-technical audiences.
  • Technical Assessment: Ability to pass ad-hoc technical and whiteboard tests, including application design pattern challenges, root cause analysis, and large data visualization use case scenarios.

Minimum Qualifications:
  • Education: Bachelor's degree in Computer Science or a related discipline, or an equivalent combination of education and experience.
  • Experience: 10+ years of relevant experience, with at least 5 years in a similar role. Expecting 5-8 years of experience in a Data Solutions Architect role.
  • Security: Must be able to pass basic NACI, background, drug, and reference checks.
  • Location: U.S. Remote
  • Travel: None/rare.


Disclaimer: The above description is meant to illustrate the general nature of work and the level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description, or responsibilities as needed.

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