DataOps Consultant, Lakehouse Support

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.

What we offer

• Global Relocation - (Relocation options; Experience in an international environment; Cross-cultural experience)

• Recognition and Evaluation - (Feedback culture; Regular appraisals)

• Time Off - (Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority; Occasional leave - 1 or 2 days/ depending on the circumstances; Child care leave - 2 days or 16 hours per year; Absence due to force majeure - 2 days or 16 hours per year; Maternity Leave - 20 weeks; Parental Leave - 41 weeks; Paternity Leave - 14 days)

• Luxoft Training Center - (Expert-led tech courses covering basic to advanced topics; Internal instructor-led soft skills courses; Comprehensive in-house self-learning resources for both soft and hard skills; Access to external self-learning libraries like ProQuest eBook and Udemy for Business; Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy; Custom Learning Programs: upskilling, reskilling, technical mentorship; Leadership Programs for Managers)

• Well-being and Work-life Balance - (Multisport card; Possibility to order Multisport card at the corporate rate for family members; LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.; One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners; Preferential banking offer; Preferential car leasing offer; Cafeteria program discounts for shops, cinema tickets, holiday offers; Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support)

• Health Care - (Private Healthcare Insurance with unlimited access to specialists; Full dental support; Travel Insurance; Possibility to add private healthcare coverage for family members at the corporate rate; Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer; Reimbursement for corrective glasses)

• Company Events and Friendly Environment - (Many fun social activities organized by the Luxoft team offline in your city; Online entertainment events for whole company and local team events; A workplace where you’re treated with respect within a multicultural team)

• Internal Mobility - (Rotation between projects and accounts; New career opportunities)

• Self-Learning Library

• CSR Projects

Other

• Languages: English: C1 Advanced

• Seniority: Senior

Requirements

• 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

• 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

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