DataOps Consultant, Lakehouse Support
Skills
About This Role
Overview
Project description
L2 DataOps Consultant - Lakehouse Support.
The consultant provides operational diagnostics and incident management for Lakehouse data platforms in an investment management environment .
The role owns L2 incident resolution across data pipelines, coordinates with platform engineering, Data Engineers and data domain teams, and applies structured ITSM, change and problem management to reduce recurring issues.
Working knowledge of investment-management data domains (portfolio/positions, trade lifecycle, market data, risk & performance) is required for correct incident interpretation and faster RCA.
Engagement: onsite, 6 months, 3 resources, start ASAP.
Responsibilities
Own and manage L2 incident resolution for Lakehouse data platforms
Perform deep operational diagnostics across data pipelines (batch/stream)
Coordinate resolution across platform engineering, Data Engineers and data domain teams
Ensure correct usage of ITSM tools (e.g., ServiceNow) for incident tracking and lifecycle management
Leverage metadata and documentation for troubleshooting and root cause analysis
Maintain clear ownership, escalation paths and communication during incidents
Reduce incident noise and recurring issues through structured problem management
Skills
Must have
Strong experience in Data Operations (L2 support)
Solid understanding of Lakehouse architectures (Databricks, Delta Lake or equivalent)
Hands-on: incident management (ITSM discipline), data pipeline troubleshooting (batch/stream), cross-platform diagnostics
Working knowledge of metadata-driven operations, data lineage and observability concepts
Proven ability to own incidents end-to-end; strong RCA, change and problem management
Basic-to-intermediate knowledge of investment-management data: portfolio/positions, trade lifecycle, market data, risk & performance
Preferred: enterprise-scale data platforms, observability tools (e.g., Dynatrace), batch orchestration tools
Nice to have
Palantir (Foundry) — DQC setup in workshop, diagnostics of build failures and data pipelines
Monte Carlo — data quality alert management and observability
Azure DevOps — repository management, CI/CD
Working knowledge of investment management data: portfolio terminology (maturity date, value date), trade lifecycle, market and risk data; familiarity with domain systems (Optima, Cardia)
Understanding of data lineage, observability and metadata-driven operations concepts
Exposure to enterprise-scale data platforms and batch orchestration / data workflow tools
Your resume, rewritten
for this exact role.
Sign up free — Base Career tailors your CV to this job description in 60 seconds.
01 / 05
Resume Tailored to This Job
Your keywords, structure, and story — rewritten to match this exact role and pass ATS filters.
Free · No card · 60 seconds
02 / 05
Cover Letter for This Role, Done
Job-specific cover letters written in Gulf professional tone — ready in seconds, not hours.
Free · No card · 60 seconds
03 / 05
See How Well You Fit This Role
AI match score with clear reasons — know your fit before investing time in the application.
Free · No card · 60 seconds
04 / 05
Apply in One Click
Autofill any application form on Workday, LinkedIn, Bayt, Greenhouse — with your tailored content.
Free · No card · 60 seconds
05 / 05
Track It. Follow Up at the Right Time.
Visual pipeline for every application with AI-timed follow-up reminders so nothing slips.
Free · No card · 60 seconds
2.2K+
Cover Letters & Follow-ups
1.8K+
Resumes Tailored
190.5K+
Jobs Tracked
Trusted by professionals at
Stop applying blindly.
Start getting hired.
Base Career automates the hardest parts of job searching — apply smarter, not harder.
AI Resume in 60s
Your resume rewritten for this exact role using the job description as the brief.
ATS-Optimized
Get past automated screening filters with the right keywords matched to each job.
Application Tracker
Track every job, follow-up, and interview in one visual kanban board.
Free plan · No credit card required