Cloud Data Solutions Architect

5 days ago


Islamabad, Islamabad, Pakistan VentureDive Full time

Job Overview

VentureDive is seeking a seasoned Azure data engineer to design and implement scalable, cloud-based data architectures for our government sector clients. As an ideal candidate, you will possess extensive expertise in the Azure data ecosystem.

Responsibilities

  • Design and implement tailored Azure-based data solutions that meet customer requirements while ensuring scalability, reliability, and security.
  • Utilize the Azure data ecosystem to build data pipelines, perform transformations, and enable advanced analytics using Azure Data Factory (ADF) and Azure Databricks.
  • Collaborate with customers to understand their data needs, define architecture strategies, and provide technical recommendations.
  • Develop and implement data ingestion, transformation, and storage pipelines for structured and unstructured data sources.
  • Ensure adherence to data governance policies and compliance requirements specific to government projects.
  • Optimize data workflows and processes to improve performance, reduce costs, and enhance scalability.
  • Document technical knowledge, including architecture diagrams, data flow models, and operational procedures.
  • Provide guidance and mentorship to junior team members on Azure best practices and data engineering methodologies.
  • Stay updated with the latest advancements in Azure services and assess their relevance to customer projects.

Qualifications and Experience

  1. At least 5 years of hands-on experience in data engineering and designing cloud-based data architectures.
  2. 3+ years of experience working extensively with the Azure data ecosystem, including:
  3. Azure Data Factory (ADF) for data integration and orchestration.
  4. Azure Databricks for data processing, transformation, and machine learning.
  5. Other services such as Azure Synapse Analytics, Azure Storage, and Azure SQL Database.
  6. Proven experience in building and optimizing large-scale ETL/ELT pipelines.
  7. Strong understanding of data warehousing and data lake architecture principles.
  8. Familiarity with programming languages such as Python, Scala, or SQL for data transformation and analytics.
  9. Experience with data governance, including security, compliance, and access management, especially for government customers.
  10. Effective communication skills to engage with stakeholders, document solutions, and deliver presentations.
  11. Ability to design solutions that balance performance, cost-efficiency, and maintainability.

Preferred Skills

  1. Knowledge of government compliance frameworks or other relevant standards.
  2. Experience with DevOps practices and CI/CD pipelines in Azure.
  3. Hands-on experience integrating Azure data solutions with Power BI or other visualization tools.
  4. Exposure to real-time data processing using Azure Stream Analytics or similar tools.
  5. Experience with large-scale migration projects from on-premises to Azure.


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