Senior Cloud Data Architect

1 day ago


Manila, National Capital Region, Philippines beBeeData Full time ₱904,006 - ₱1,427,489
Unlock Your Potential as a Senior Data Engineer

We are seeking an accomplished Senior Data Engineer to join our team. This is a unique opportunity to leverage your technical expertise and passion for data engineering to drive business success.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Data Factory, and related Azure services.
  • Collaborate with architects, analysts, data modellers, and business stakeholders to deliver robust data solutions.
  • Participate in solution design and technical discussions to ensure scalable and secure data workflows.
  • Implement performance-optimized and secure data workflows, ensuring compliance with governance and quality standards.
  • Create 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.
Required Skills and Qualifications
  • Proven experience of more than 6 years in data engineering, 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.
About Our Ideal Candidate

We are looking for a candidate with strong technical skills, excellent communication skills, and a passion for data engineering. If you have experience working with cloud-based data platforms, designing and building scalable data pipelines, and collaborating with cross-functional teams, we encourage you to apply.

What We Offer

We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development. As a member of our team, you will be part of a dynamic and supportive environment that encourages innovation, creativity, and collaboration.


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