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Data Platform Tech Lead (Azure).*Remote working*

ERP Resource Base

Posted on Mar 28, 2021 by ERP Resource Base

Brussel, Belgium
IT
Immediate Start
Annual Salary
Contract/Project


Our client has presented us with a new contract opportunity. If interested, please send your CV through the JobServe link.

The Data Insights & Analytics CoE designs, configures, implements and operates a multi-country DataLake-based Azure Data Platform for Business Intelligence, Analytics, Data Science and Data Hub use cases, enabling strategic capabilities on the Retail, Marketing, Financial areas, Supply Chain and E-commerce business domains.

As a Technical Lead on the Azure Data & Analytics CoE, you will:


  • Chair and Lead the domain's Design Authority.
  • Design the platform foundations together with the other Design Authority architects and tech experts.
  • Write down, together with other Design Authority members, the platform enablers specifications for Scrum Teams to implement them.
  • Design the evolving cloud platform blueprint and its tech roadmap.

  • Represent technology and be the voice of Design Authority towards stakeholders and other stakeholder groups.
  • Technically lead the design and implementation strategy of the platform.
  • Review the Feature High Level Solution Design and System designs.
  • Define the Solution Intent and development principles and standards for Scrum Teams.
  • Act as a technical SME for Business Intelligence and Datawarehousing design and implementation principles

Detailed responsibilities and accountabilities include:

  • Designs and consolidates data management practices jointly with solution architects: Literacy, Datamodelling, Democracy, Ingestion, Metadata management, Quality, Protection, etc.
  • Enforces that all D&A features are delivered following defined guidelines, standards and policies.
  • Defines the necessary platform enablers for the platform roadmap as per business objectives.
  • Reviews and documents any deviations from the data management guidelines.
  • Gathering, building, and documenting both a technical and functional knowledge and understanding of the platform's data and processes.
  • Drive the technical architecture and Datamodelling strategy, ensuring a consistent implementation across all value streams.
  • Makes sure that data management practices are followed by solution architects and the development teams.
  • Agile activities:
  • Accountable for an updated data dictionary, data catalog, data lineage and ERD diagrams.
  • Accountable for technical capacity and availability planning of the platform: Computing capacity, storage growth, data retention, platform uptime, etc.
  • Ensure operations team is Fine-tuning/Monitoring (performance, operation, usage, cost) of components such as:

    • Azure SQL Server databases
    • Azure Server Analysis Services
    • Azure DataLake
    • Azure DataBricks clusters
    • Microsoft PowerBI
    • Ensures the elaboration of Root Cause Analysis, contributes to them, and reviews its corrective and preventive actions.

    • Define a data management acceptance criteria.
    • Review data management for feature and user stories (as part of definition of ready).
    • Attends review sessions and assess data management acceptance criteria.
    • Contribute to the Program sessions to align tech roadmap to business roadmap with the Product Manager.

Experience

Considered mandatory

  • Proficient working knowledge on design and implementation of Data Platforms solutions on the Azure Cloud with DataLake, SQL server and PowerBI technologies as its core components.
  • Solid track record implementing and operating relational (traditional) Datawarehouse platforms on technologies such as Oracle, SQL Server, Azure DW/Synapse, Teradata
  • Clearly demonstrate expertise on structured data management.
  • Clearly demonstrate expertise on ETL/ELT processes design and productionisation.
  • Experience in fine-tuning queries and data transformation processes.
  • Experience leading technical senior teams.

Considered mandatory

  • Azure Data Lake or AWS/GCP equivalent.
  • Azure Data Factory or AWS/GCP equivalent.
  • Microsoft SQL Server or Azure DW or Azure Synapse or AWS/GCP equivalent.
  • Databricks or equivalent.
  • Experience with Master (or Reference) Data Management practices and design of interfaces such as APIs.
  • Multidimensional modelling.
  • ERD diagramming for conceptual and logical solution designs.
  • Ability to define and write Project Start Architecture documents.
  • Advanced level of T-SQL language.
  • ITIL working experience (change, release, incident, problem management and service request)
  • Microsoft SQL Server or Azure Synapse experience preferred



Reference: 1143843377

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