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Cloud Data Architect

2 months ago

Gothenburg, Västra Götaland, Sweden HCL Technologies Sweden AB Full time
Job Description

We are seeking an experienced Cloud Data Architect to join our dynamic team in HCL Technologies Sweden AB.

Key Responsibilities:
  • Solution Design & Architecture:
    • Design and architect scalable and efficient data solutions that meet business needs.
    • Work closely with Enterprise Architects to align solutions with the overall architectural vision.
    • Collaborate with Product Owners and Engineering Managers to define data product requirements and deliverables.
  • Data Pipeline Development:
    • Design, build, and maintain ETL data pipelines using the Azure Cloud Data Engineering stack.
    • Leverage Azure Data Lake and Lakehouse architectures for effective data storage and processing.
    • Extract, transform, and load (ETL) data from various sources into data warehouses or data lakes.
  • Data Governance & Quality:
    • Design, implement, and enforce data governance policies and practices.
    • Ensure data quality by implementing data validation and quality checks.
    • Maintain data accuracy and reliability for analytical purposes.
  • SQL and Snowflake Expertise:
    • Develop and optimize complex SQL queries and stored procedures for data transformation and integration.
    • Utilize Snowflake for efficient data warehousing solutions, including building data products and designing secure data sharing methodologies.
    • Ensure data security and compliance with industry standards and regulations.
  • Kafka Integration:
    • Design and implement ingestion frameworks to manage real-time and batch data ingestion from Kafka and similar message queuing systems.
    • Develop and maintain Kafka data streaming solutions.
  • Collaboration & Communication:
    • Work with business stakeholders to understand data requirements and deliver actionable insights.
    • Collaborate with engineering teams to ensure seamless integration of data solutions.
    • Communicate effectively with cross-functional teams to drive data initiatives.
  • DevOps and Automation:
    • Implement DevOps practices to streamline data pipeline deployments and operations.
    • Automate data processing workflows to enhance efficiency and reliability.
  • Streamlit:
    • Experience in building customized apps using Streamlit and integration with Snowflake.
Qualifications and Must-Haves:
  • Education: Master's degree in Computer Science, Information Technology, or a related field.
  • Experience: Strong experience in data architecture and engineering.
  • Skills: Proven expertise in Azure Cloud Data Architecture, Azure Data Factory, Databricks, and ETL processes.
  • Technical Skills: Strong proficiency in SQL and Snowflake for data transformation and integration.
  • Soft Skills: Excellent problem-solving skills and ability to design scalable data solutions.
  • Communication Skills: Strong communication skills with the ability to work effectively with technical and non-technical stakeholders.
Preferred Skills:
  • DevOps: Experience with DevOps practices and automation tools.
  • Data Product Design: Familiarity with data product design and development.
  • Modern Data Warehousing: Knowledge of modern data warehousing concepts and technologies.
  • Analytical Skills: Strong analytical and organizational skills.