Forward Deployed Engineer – Data Migration, Data Consolidation Platforms

🕒 March 17

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Rackspace Technology

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1998

🏢 Enterprise

🤖 Artificial Intelligence

🔐 Security

Enterprise • Artificial Intelligence • Security

Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.

📋 Description

• Lead end-to-end delivery of enterprise data migrations from corporate systems to target cloud data platforms • Build production-grade data connectors to various sources • Develop ETL/ELT pipelines with multi-layer validation • Construct semantic ontology layers translating raw ERP structures into business-consumable objects • Build operational dashboards and agent-driven workflows • Lead consolidation of fragmented ERP instances into standardized master data models • Serve as primary technical advisor to C-suite and enterprise architecture stakeholders • Build reusable migration accelerators, playbooks, and reference architectures

🎯 Requirements

• 7-10+ years of progressive experience in enterprise data engineering, data migration, or large-scale system integration roles within complex, multi-platform environments • 3-5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises and Industry Leaders • Demonstrated client-facing experience serving as a trusted technical advisor to C-level executives • Proven industry depth in at least two of the following verticals: Healthcare, Financial Services, Manufacturing, Retail, Energy & Utilities, or Public Sector • Advanced proficiency in Python and SQL with working experience in PySpark and TypeScript/JavaScript • Hands-on expertise with modern ETL/ELT and data integration platforms (Informatica, Talend, Matillion, Fivetran, AWS Glue, Azure Data Factory)

🏖️ Benefits

• Incentive compensation opportunities in the form of annual bonus or incentives • Equity awards • Employee Stock Purchase Plan (ESPP)