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Lead Data Architect

2 months ago

Liverpool, Liverpool, United Kingdom ON Data Staffing Full time
About the Role

We are seeking a highly skilled Lead Data Architect to join our team at ON Data Staffing. As a key member of our data engineering team, you will play a pivotal role in delivering innovative big data solutions to our clients.

This client-facing role requires a unique blend of technical expertise in Databricks/Snowflake and exceptional communication skills to understand and address clients' diverse data challenges.

Key Responsibilities
  • Client Engagement
    • Collaborate directly with our clients to understand their business objectives, data challenges, and technical requirements.
    • Translate our client's needs into effective and scalable Databricks or Snowflake-based data engineering solutions.
    • Foster strong client relationships through clear and proactive communication.
  • Solution Design and Implementation
    • Lead the design and implementation of robust data processing workflows using Databricks or Snowflake.
    • Develop and deploy ETL (Extract, Transform, Load) processes to ensure efficient and accurate data delivery.
    • Optimize data workflows for performance, scalability, and cost-effectiveness.
  • Technical Expertise
    • Demonstrate in-depth expertise in Databricks or Snowflake, Apache Spark, and related big data technologies.
    • Stay informed about the latest industry trends and advancements in data engineering.
  • Quality Assurance
    • Conduct thorough testing and validation of Databricks or Snowflake solutions to ensure data integrity and reliability.
    • Collaborate with our clients and internal teams to troubleshoot and resolve technical issues.
  • Documentation
    • Create and maintain comprehensive technical documentation for implemented Databricks or Snowflake solutions.
    • Provide training and knowledge transfer to our clients and internal team members.
  • Innovation and Collaboration
    • Identify opportunities for innovation and improvement in data engineering processes.
    • Collaborate with cross-functional teams to contribute to the overall success of our projects.
    Qualifications
    • Bachelor's degree in Computer Science, Engineering, or a related field.
    • Proven experience in data engineering with a focus on Databricks and Apache Spark.
    • Strong programming skills, preferably in Python or Scala.
    • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and associated data services.
    • Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
    • Proven problem-solving skills and a proactive approach to addressing challenges.
    Preferred Qualifications
    • Databricks certification or relevant professional certifications.
    • Experience in a client-facing role within a consultancy or similar environment.
    • Familiarity with start-up culture and the ability to thrive in a dynamic and fast-paced environment.