The Data Engineer - III plays a critical role in ensuring the reliability, performance, security, and operational excellence of enterprise data platforms and analytics systems. This role acts as the final escalation point for L2 support, partners closely with L3 Data Engineering teams, and drives deep technical troubleshooting, optimization, and governance across cloud data and BI ecosystems.
Key Responsibilities
Operations & SupportCreate,update, and maintainoperational runbooksand manage platformentitlementsand access controls.Implement configuration changes tobatch pipelinesand underlyingcloud infrastructure.Manually control and managepipeline executions during planned maintenance windows.Performon-demand operational changesbased on guidance from the L3 Data Engineering team.Handleuser service requestsand coordinate non-runbook-based requests with L3 teams.ActivelyparticipateinDisaster Recovery (DR) testingactivities (bi-annual).Supportdevelopment-to-production data synchronizationactivities.Represent the team inweekly Change Management / CAB meetings.Advanced Troubleshooting & Optimization
Troubleshoot andoptimizecomplex:DAX & M (Power BI)
LOD expressions (Tableau)
Advanced spreadsheet formulas (Sigma)beyond L2 capabilities
Performdeep-dive debuggingin:Azure Databricks (Spark / SQL)
Dynamic expressions and data flows in Azure Data Factory
Design and implement advancedRow-Level Security (RLS)andObject-Level Security (OLS)across: Power BI
Tableau
Sigma
Resolve complexAlteryx workflow failures, including: Custom macros
API connectors
R / Python integrations
Documentation, Enablement & Leadership
Authortechnical design documentsand detailedoperational runbooksfor L2 teams.Serve as thefinal escalation pointfor L2, providing hands-on guidance and mentoring.LeadDeep Root Cause Analysis (RCA)for recurring or systemic failures.Drive continuous improvement in operational stability, performance, and support readiness.Technical Skills
Strong hands-on experience with:Azure Data Lake Storage (ADLS)Azure DatabricksAzure Data Factory (ADF)Azure Synapse AnalyticsSnowflakeAzure Event HubTidal SchedulerPower BI, Tableau, MicroStrategy (MSTR), SigmaAlteryxPyramid, CollibraExpertisein:
DAX / M (Power BI)VizQL& advanced TableaumodelingDatabricks SQL & Spark optimization for BI consumptionAlteryx analytical appsCore Competencies
Strong ability toread, write, and troubleshoot SQL queries and stored procedures.Proven experience configuring, managing, and troubleshootingcloud-based data platforms.Excellentanalytical and problem-solving skillswith a production-first mindset.Strongwritten and verbal communication skills, capable of explaining technical concepts to non-technical stakeholders.Ability to work effectively insmall, high-impact teams, fostering collaboration and inclusiveness.Experience Level
5-8+ yearsof experience in Data Engineering, Analytics Engineering, orDataOpsrolesPrior experience inproduction support, operational ownership, and escalation handlingis strongly preferred
