Chief Data Solutions Architect

6 hours ago

Manila, National Capital Region, Philippines beBeeData Full time ₱800,000 - ₱1,000,000
Job Overview

We are seeking an experienced Chief Data Solutions Architect to lead our data strategy and drive business outcomes through innovative data solutions.

Key Responsibilities:
  • Design, build, and deploy cutting-edge data architectures using Microsoft Fabric and Azure services to support ingestion, transformation, and curation of data.
  • Collaborate with architects, analysts, data modellers, and business stakeholders to deliver robust data solutions that meet business requirements.
  • Participate in solution design and technical discussions to ensure scalable and secure data workflows that align with business objectives.
  • Implement performance-optimized and secure data workflows, ensuring compliance with governance and quality standards.
  • Develop and maintain clear, accurate, and up-to-date technical documentation for data assets, pipelines, and processes.
  • Engage effectively with technical and non-technical team members to ensure shared understanding of requirements and delivery expectations.
  • Translate business and analytical requirements into technical solutions leveraging Microsoft Fabric components and Azure services.
  • Ensure a stable development environment, following CI/CD best practices, monitoring pipeline performance, and addressing issues promptly.
Requirements:
  • Proven experience in data architecture, data warehousing, and analytics projects, covering data ingestion, transformation, curation, and delivery.
  • Strong knowledge of modern data file formats such as Delta Tables, Apache Iceberg, and Parquet.
  • Proficiency in Python, Spark, Azure Data Factory, and other relevant data transformation tools and frameworks.
  • Expertise in data modelling across conceptual, logical, and physical layers, with knowledge of Dimensional Modelling and Data Vault 2.0 methodologies.
  • Experience with cloud data services, preferably within the Microsoft ecosystem, with exposure to AWS or GCP as an advantage.
  • Hands-on experience with Microsoft Fabric, Databricks, and/or Snowflake.
  • Skilled in data pipeline orchestration using Azure Data Factory and related frameworks.
  • Experience with CI/CD pipelines and DevOps practices for automated deployment and integration workflows.
  • Proficiency in Infrastructure as Code (IaC) tools such as Terraform or Bicep.
  • Solid understanding of data governance, data management practices, and security considerations for cloud data platforms.
  • Competence in database performance tuning, optimization, and advanced SQL development.
  • Knowledge of design patterns, clean architecture, and clean coding principles for scalable data solutions.
  • Familiarity with testing methodologies in data engineering, including unit, integration, and end-to-end testing.

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