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Open nowFirst seen 2 days ago

Data Solutions Architect

Boardroom Appointments3,354 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowData Solutions ArchitectBoardroom Appointments · Remote
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Share of postings closed within
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  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

Summary of the Role

Data Solutions Architect to work within a dynamic, remote-first data architecture capability delivering cloud-based data solutions Responsible for designing and delivering solutions using RDBMS, ETL and ELT, and cloud platforms for blue-chip clients across multiple sectors Lead cross-functional teams including Data Engineers, Architects, Business Analysts, and QA Analysts in an Agile environment Own end-to-end technical delivery, stakeholder engagement, and solution quality

Experience and Leadership

  • Proven experience in data architecture in a senior or lead role
  • Demonstrated experience leading architectural design and strategy for complex data solutions using Snowflake
  • Experience overseeing end-to-end delivery of enterprise data platforms
  • Background in consulting environments delivering custom data architecture solutions
  • Experience within the insurance sector considered an advantage

Architectural Expertise

  • Strong expertise in designing and delivering end-to-end data solutions including data warehousing, pipelines, and analytics using Snowflake
  • Experience applying Data Mesh and Data Fabric architectural patterns
  • Proven ability to develop data product strategies with a product-led mindset
  • Extensive experience across cloud platforms including Snowflake, AWS, Azure, and GCP
  • Experience integrating Snowflake with cloud services and big data tools
  • Strong understanding of cloud infrastructure and its impact on data architecture

Data Technology Skills

  • Deep hands-on experience with Snowflake features, capabilities, and best practices
  • Strong understanding of data modelling principles and techniques
  • Solid knowledge of big data technologies such as Apache Spark
  • Working knowledge of Hadoop ecosystems
  • Experience with programming languages such as Python, R, or Java
  • Knowledge of ETL and ELT processes including DBT
  • Experience with SQL and NoSQL databases
  • Exposure to data visualisation tools and DevOps principles and tools
  • Familiarity with machine learning and AI concepts and their integration into data architectures

Design and Lifecycle Management

  • Proven experience designing modern, scalable, and resilient data architectures
  • Strong understanding of the full data architecture lifecycle from concept to deployment and consumption

Data Management and Governance

  • Strong knowledge of data management principles and best practices
  • Experience implementing data governance frameworks
  • Understanding of data security and compliance requirements including GDPR, CCPA, HIPAA, or similar regulations

Leadership and Communication

  • Strong leadership capability to guide and manage architects and technical specialists
  • Excellent communication and interpersonal skills
  • Proven ability to influence architectural decisions and guide best practices with stakeholders and clients

Project and Stakeholder Management

  • Experience working within agile delivery frameworks including SAFe, Scrum, and Kanban
  • Ability to manage budgets, timelines, and resources while maintaining focus on architectural outcomes

Qualifications

  • Matric and a bachelors degree in Business Administration, Information Systems, or a related field
  • SAFe or Scrum certification preferred
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