Sr. Data Engineering Delivery Architect (Azure Data Services) Full Time

Responsibilities

• Lead, define and implement end-to-end modern data platforms on Azure.
• Design and drive reusable assets, growing analytics and DevOps capability.
• Solution and deliver modern data platforms and advanced analytics solutions.
• Collaborate with architects, developers, data scientists, and designers.
• Address data privacy, ingestion, storage, and analytical consumption.
• Act as the technical liaison between customers and engineering teams.
• Educate customers on the value of cloud and data services.
• Present recommendations to clients through written and verbal communication.
• Develop deep relationships with clients and serve as the main contact.

Requirements

• 10+ years’ experience in leading data solution engagements.
• At least 5 full lifecycle data platform deployments on Azure.
• Extensive experience with Azure Data Factory, Synapse, Databricks.
• Strong Spark, SQL, data modeling, and lakehouse concepts.
• Strong programming experience using Python and Scala.
• 8+ years of experience with ETL from various data sources.
• 5+ years’ experience with analytics/data management strategy formulation.
• 5+ years working in cloud or multi-server complex environments.
• Ability to simplify complex concepts for non-technical stakeholders.
• Experience with Agile development methods in data projects.
• Knowledge of dashboarding tools like Tableau, Power BI, Qlik.
• Certifications in architecture or data engineering from Azure/AWS/GCP.
• Familiarity with tools like JIRA, Git, Jenkins, and PowerShell.

Skills

• Data architecture
• Cloud solutions
• Azure technologies
• ETL processes
• Data modeling
• Programming
• Agile methodology
• Customer engagement

Benefits

• Competitive salary with variable compensation options.
• Opportunity for career growth and mentorship.
• Work in a collaborative and innovative environment.
• Access to cutting-edge technology and tools.
• Flexible remote work options available.