Solutions Architect
at Mondo
in
Salisbury,
North Carolina
Posted in Other about 2 hours ago.
Type: full-time
Job Description:
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.