Azure Data Engineer IV - IN

The Lead Data engineer is responsible for managing and operating upon Azure Data Lake Storage, Databricks, Azure Data Factory, Synapse, Snowflake, Azure event hub, Tidal, Pyramid, Collibra, PowerBI, Tableau, MSTR, Alteryx.  The engineer will work closely with the customer and team to manage and operate cloud data platform. Job Description

Provides Coverage: 

•   Knowledge Management: Create/update runbooks as needed / Entitlements  

•   Governance: Watch all the configuration changes to batches and infrastructure (cloud platform) along with mapping it with proper documentation and aligning resources.

•   Communication: Lead and act as a POC for customer from off-site, handling communication, escalation, isolating issues and coordinating with off-site resources while level setting expectation across stakeholders

•   Change Management: Align resources for on-demand changes and coordinate with stakeholders as required

•   Request Management: Handle user requests – if the request is not runbook-based create a new KB or update runbook accordingly

•   Incident Management and Problem Management, Root cause Analysis, coming up with preventive measures and recommendations such as enhancing monitoring or systematic changes as needed. •    KNOWLEDGE/SKILLS/ABILITY: Good hands on Azure Data Lake Storage, Databricks, Azure Data Factory, Synapse, Snowflake, Azure event hub, Tidal, Pyramid, Collibra, PowerBI, Tableau, MSTR, Alteryx. Ability to read and write sql and stored procedures. Good hands on experience in configuring, managing and troubleshooting along with general analytical and problem solving skills. Excellent written and verbal communication skills. Ability to communicate technical info and ideas so others will understand. Ability to successfully work and promote inclusiveness in small groups. 

   SUPERVISION:  Works under moderate supervision.