Platform Architect - JobRialto : Job Details

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. You will collaborate 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. Key Responsibilities

• Strategic Development: Develop and deliver long-term strategic goals for data platform vision and standards.
• Data Quality: Establish methods for tracking and improving data quality and completeness.
• Capacity Planning: Conduct data capacity planning and feasibility studies.
• Compliance Assurance: Ensure compliance with data strategies and architectures.
• Component Evaluation: Evaluate and recommend data platform components and tools.
• System Management: Implement and manage data platform tools and systems.
• Data Mapping: Map data sources and ensure data quality and consistency.
• Warehouse Optimization: Execute data warehouse configuration and tuning.
• Efficiency Identification: Identify and resolve data platform inefficiencies and gaps.
• Performance Monitoring: Monitor and improve data warehouse performance.
• Change Control: Develop and maintain change control and testing processes for data systems.
• Documentation: Document the data architecture and maintain an accurate view of the data environment.
• Collaboration: Collaborate with data teams to deliver data and reports as required.
• Automation Enablement: Work with cloud engineering teams to enable data platform services with automation.

Qualifications

• Experience: 8+ years of relevant experience in technology or a related field; 5+ years in an advanced technical role, leading teams directly or indirectly.
• Big Data Platforms: Experience architecting and maintaining big data platforms using Microsoft Data & Analytics Services.
• SQL Server Expertise: Familiarity with SQL Server High Availability Groups and complex application architectures.
• Development Methodologies: Proficiency in TDD/CI/CD, build/test automation, and containerization.
• Agile Experience: Familiarity with the Agile software development lifecycle.
• Architectural Knowledge: Experience with distributed micro-services or serverless cloud software architecture.
• Hands-on Expertise: Practical knowledge of Infrastructure as Code (IaC) and experience with machine learning frameworks.
• Collaboration Skills: Strong cross-functional team collaboration abilities.
• Communication Skills: Exceptional written, verbal communication, and presentation skills.
• Problem-Solving: Excellent problem-solving and critical-thinking abilities.
• Technical Knowledge: Knowledge of RDBMS, NoSQL, Big Data technologies (Hadoop), ETL tools, data modeling, and technologies like Kafka and Kinesis.
• Data Security Mindset: A data security-first mindset.
• DevOps Proficiency: Experience with GitHub Actions and Azure DevOps Pipelines.
• Infrastructure Knowledge: Understanding of infrastructure, network, and security aspects.

Education: Bachelors Degree