Data Architect at Realtime Recruitment
Dublin, Dublin County, Ireland -
Full Time


Start Date

Immediate

Expiry Date

11 Jan, 27

Salary

50000.0

Posted On

13 Oct, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description


  • Design end-to-end data architectures and modern cloud-based data platforms.
  • Translate business requirements into technical architectures, solution designs and implementation roadmaps.
  • Lead the design of data lakes, data warehouses, lakehouse platforms and enterprise analytics solutions.
  • Define data modelling standards, data integration patterns, ETL/ELT processes and data migration strategies.
  • Design and optimise data solutions using Microsoft Azure services, including Azure Data Factory, Azure Data Lake Storage and Azure Synapse Analytics.
  • Evaluate and implement technologies such as Microsoft Fabric and Azure Databricks where appropriate.
  • Establish data governance, security, quality, lineage and access-control standards.
  • Work closely with data engineers, BI developers, cloud architects and delivery teams to ensure successful implementation.
  • Produce high-level and low-level design documentation, architecture diagrams and technical specifications.
  • Engage with customers and senior stakeholders to explain architectural decisions and recommend appropriate solutions.
  • Support pre-sales activities, technical workshops, estimates and solution proposals where required.


  • Essential experience and skillsSignificant experience in data architecture, data engineering or enterprise data platform design.
  • Strong Microsoft Azure data ecosystem experience.
  • Experience with data integration, ETL/ELT, data warehousing and cloud-based data platforms.
  • Excellent SQL and data modelling skills, including dimensional modelling and star schemas.
  • Understanding of modern data lakehouse architectures and distributed data processing.
  • Experience with data governance, data quality, security and regulatory considerations.
  • Ability to translate complex business requirements into robust technical solutions.
  • Strong communication, stakeholder management and documentation skills.
  • Experience delivering technology projects in a customer-facing or consultancy environment.

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Responsibilities
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