Principal Engineer – Databricks Data Engineer

🔥 1 hour ago

🇲🇽 Mexico – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nagarro

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

📋 Description

• Audit the current Databricks workspace state, including environments, clusters, Unity Catalog setup, access controls, and cost configuration • Implement and harden Unity Catalog, including namespace structure, access controls, cluster policies, and environment separation • Define workspace standards, naming conventions, access request workflows, and user/team onboarding processes • Establish data quality frameworks, including SLAs, certification criteria, and data ownership models • Build automation templates for cluster lifecycle management, cost alerting, and utilization monitoring • Create observability dashboards covering platform health, cost, job success rates, and data quality SLA KPIs • Monitor core data asset lineage across workspaces • Create operational runbooks for recurring tasks executable by junior or mid-level engineers • Conduct knowledge-transfer sessions with platform engineering teams • Provide final documentation covering architecture decisions, operational standards, open items, and recommendations • Evaluate and optimize Databricks environments, workspaces, clusters, catalogs, permissions, and security configurations • Define and implement governance standards for secure, scalable, and compliant platform operations • Lead Unity Catalog adoption and design data structures, access models, and environment segregation strategies • Establish RBAC policies, workspace standards, naming conventions, and user access processes • Drive data governance initiatives involving data quality frameworks, ownership models, SLAs, lineage, and stewardship • Develop automation solutions and Infrastructure as Code frameworks • Implement cost optimization, monitoring, and operational excellence practices • Design observability and performance dashboards tracking platform health, utilization, job success rates, and data quality KPIs • Create operational documentation, runbooks, and support procedures • Partner with security, compliance, infrastructure, and data engineering teams • Provide training, mentoring, and knowledge-transfer sessions • Recommend platform improvements and long-term strategies for governance, scalability, and organizational maturity

🎯 Requirements

• Must have skills: Azure Data Factory, Databricks, Unity Catalog • Good to have skills: Data platform implementation, Google Workspace Administration

🏖️ Benefits

• Remote work • Full-time employment