Data Platform Solutions Architect

Location: Remote

Duration: End of year with likelihood of extension

Pay Rate: $70+ per hour

JOB DESCRIPTION

We are seeking a highly skilled Data Platform Solution Architect to join our team on a contract basis. The ideal candidate will have extensive experience in designing and managing data and analytics platforms, and will work closely with our data product teams, cloud engineering teams, and architects to implement scalable, resilient, and high-performance data solutions. This role requires a deep understanding of Machine Learning, Data Engineering, Data Lakes, and other advanced data services.

RESPONSIBILITIES

• 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.

QUALIFICATIONS

• 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.
• Experience with distributed micro-services or Serverless cloud software architecture.
• 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.
• 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.

Category Code: JN008
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