Remote Multiyear Azure Data Lakehouse Engineer or Architect Full time or Part time

We are seeking an experienced Senior Data Lakehouse Architect & Consultant to lead the design and of a scalable robust and secure production environment for our data lakehouse infrastructure. This individual will be instrumental in migrating existing data feeds processes and products from development to production while ensuring minimal disruption. The ideal candidate will possess deep expertise in modern data architectures Microsoft Azure cloud platform and data lakehouse tool suite DevOps practices and data governance and be able to develop effective strategies that bridge both IT and poweruser communities.

Key Responsibilities:

• Production Environment Design & Migration:
  • Lead the design and architecture of the data lakehouse production environment based on the clients existing development environment.
  • Develop a comprehensive migration plan for transitioning existing data feeds processes and products from the development environment to the new production environment.
  • Collaborate with crossfunctional teams to ensure a smooth and efficient migration process minimizing disruptions to operations.
  • Perform gap analysis to understand any challenges within current data flow architecture and product design in the development environment and make recommendations for addressing lowhanging fruit during the migration.
• Data Governance & DevOps Implementation:
  • Develop data governance frameworks that promote data security accessibility and integrity across the organization.
  • Create and implement robust Azure DevOps processes for both IT teams and poweruser communities to facilitate efficient ongoing development.
  • Ensure CI/CD (Continuous Integration/Continuous Deployment) pipelines are in place for new data products and processes.
  • Establish monitoring alerting and reporting systems to manage performance security and data quality across the lakehouse ecosystem.
• Stakeholder Collaboration & Leadership:
  • Work closely with business stakeholders IT teams and power users to deeply understand their data needs and ensure alignment with the overall architecture and governance strategies.
  • Lead workshops and discussions with key stakeholders to ensure a clear understanding of the migration strategy timelines and any potential challenges.
  • Act as a thought leader within the organization by sharing insights trends and innovations in the data lakehouse space.
  • Serve as the subject matter expert for all aspects of the data lakehouse architecture providing guidance and best practices and for ongoing development and optimization.
  • Foster a culture of knowledge sharing across the organization by documenting key processes decisions and architectural frameworks.
  • Conduct training sessions and workshops for IT teams and poweruser communities ensuring knowledge transfer of new technologies processes and best practices.
  • Create and maintain internal knowledge repositories to ensure ongoing accessibility to best practices lessons learned and key design decisions.
• Strategic Planning & Roadmap Development:
  • Develop a longterm strategic roadmap for scaling the lakehouse architecture incorporating future requirements from both IT and business teams.
  • Stay informed about the latest developments in data lakehouse technologies cloud platforms and best practices incorporating them into the organizations data strategy.

Qualifications:

• Experience:
  • Minimum of 10 years in data architecture and engineering roles with at least 35 years specifically focused on data lakehouse or data lake technologies.
  • Proven experience designing and migrating largescale data infrastructures from development to production environments.
  • Extensive experience working with cloud platforms especially Microsoft Azure and respective data management tool suite.
• Technical Skills:
  • Expertlevel knowledge in data lakehouse architectures (e.g. Delta Lake Snowflake Databricks etc. in a MSFT Azure environment.
  • Strong experience with data integration ETL/ELT processes and data warehousing.
  • Proficiency with Azure SQL Python Azure Synapse MSFT Fabric (Synapse PowerBI Data Factory) MSFT Purview.
  • Knowledge of Alteryx data analytics platform is helpful.
  • Knowledge of SCADA PI data feeds is helpful.