Data Architect

Full Time
  • September 14, 2026
  • Employment Info

    JOB  DETAILS

    Requirements
    • 5+ years of experience in data architecture, data engineering, or a related field
    • High proficiency in SQL and strong data modeling skills
    • Experience in data governance, compliance standards, and enterprise data strategy
    • Excellent communication skills—written, verbal, and interpersonal
    • Ability to thrive in client-facing environments and lead cross-functional teams
    • Adaptability and problem-solving mindset in fast-paced and ambiguous situations
    • Proven experience with data lakehouse architecture including the storage and processing of semi-structured and unstructured file types
    • Proven support for data science initiatives
    • Understanding of pipeline and cost monitoring and optimisation
    • Comfortable leading business engagements to source requirements or refine data models
    • Experience with Azure & AWS Cloud Service Providers preferable
    Responsibilities
    • Architect and implement enterprise-level data solutions that align with business goals and compliance requirements.
    • Design and optimize data models, storage solutions, and integration pipelines across various platforms (Snowflake, Databricks, etc.).
    • Partner directly with clients to develop scalable data platforms, data governance frameworks, and analytics strategies.
    • Create and oversee ETL/ELT processes and advise on best practices for data quality, security, and accessibility.
    • Serve as a strategic liaison between business and IT to bridge gaps and ensure alignment.
    • Manage project timelines, expectations, and deliverables with clear communication and strong stakeholder engagement.
    Desired Qualifications
    • Experience with BI and visualization tools (e.g., Tableau, Power BI)
    • Familiarity with modern data warehouses and cloud platforms (e.g., Snowflake, Databricks)
    • ETL tool experience (e.g., dbt, Matillion, Informatica, Fivetran)
    • Knowledge of AI/ML concepts and their role in data platforms
    • Degree in Computer Science, IT, or a related field (preferred)

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