Solutions Architect

1 month ago

Salisbury, United States Mondo Full time

Job Title: Architect IV

Location-Type: Hybrid in Salisbury, NC

Start Date Is: October 21st

Duration: 2+ month contract

Compensation Range: $60-70/hr W2


Job Description:

  • Develop and deliver long-term strategic goals for data platform vision and standards.
  • Establish methods for tracking and improving data quality and completeness.
  • Conduct data capacity planning and feasibility studies.
  • Ensure compliance with data strategies and architectures.
  • Evaluate and recommend data platform components and tools.
  • Implement and manage data platform tools and systems.
  • Map data sources and ensure data quality and consistency.
  • Execute data warehouse configuration and tuning.
  • Identify and resolve data platform inefficiencies and gaps.
  • Monitor and improve data warehouse performance.
  • Develop and maintain change control and testing processes for data systems.
  • Document the data architecture and maintain an accurate view of the data environment.
  • Collaborate with data teams to deliver data and reports as required.
  • Work with cloud engineering teams to enable data platform services with automation.

Requirements:

  • 8+ years of relevant experience in technology or a related field.
  • 5+ years in an advanced technical role, leading teams directly or indirectly.
  • Experience architecting and maintaining big data platforms using Microsoft Data & Analytics Services.
  • Experience with SQL Server High Availability Groups and complex application architectures.
  • Proficiency in TDD/CI/CD, build/test automation, and containerization.
  • Agile software development lifecycle experience.
  • Hands-on IaC expertise and machine learning frameworks experience.
  • Strong cross-functional team collaboration skills.
  • Exceptional written, verbal communication, and presentation skills.
  • Excellent problem-solving and critical-thinking abilities.

Nice to Haves:

  • Knowledge of RDBMS, NoSQL, Big Data (Hadoop), ETL tools, data modeling, and technologies like Kafka and Kinesis.
  • Data Security First mindset.
  • Experience with GitHub Actions and Azure DevOps Pipelines.
  • Familiarity with infrastructure, network, and security aspects.

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