Chief Data Architect

1 week ago

Manila, National Capital Region, Philippines beBeeDataEngineer Full time $100,000 - $150,000
Job Overview

We're seeking a Senior Data Engineer to lead our data architecture and engineering initiatives.

Key Responsibilities:
  • Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Data Factory, and related Azure services.
  • Collaborate with cross-functional teams to deliver robust data solutions.
  • Participate in solution design and technical discussions to ensure scalability and security.
  • Implement performance-optimized and secure data workflows, adhering to governance and quality standards.
  • Develop and maintain clear, accurate, and up-to-date technical documentation for data assets, pipelines, and processes.
  • Communicate 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 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.
Desirable Attributes:
  • Mentorship: Ability to mentor and share knowledge with junior team members.
  • Consulting Mindset: Adaptability in diverse situations and managing changing priorities.
  • Communication: Strong skills in communicating clearly with team members and clients.
  • Understanding of non-functional requirements, including performance, security, and data privacy.
  • Passion for Data: Enthusiasm for working with data, coding, and problem-solving.
  • Innovative Spirit: Drive to continuously improve and innovate pipelines and dashboards.
  • AI Enthusiast: Interest in AI technologies such as Generative AI for self-augmentation and performance improvement.

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