Senior Forward Deployed Engineer - 64604

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview:

A cutting-edge technology organization operating at the intersection of Private Cloud, Data, and AI is seeking a Senior Forward Deployed Engineer to lead enterprise-scale data migration and consolidation initiatives. This role partners directly with Global Enterprises and Industry Leaders navigating complex modernization journeys, translating advanced migration acceleration capabilities into production-ready, client-specific solutions.

As a hands-on technical leader, you will architect and execute large-scale migrations from legacy enterprise platforms (e.g., SAP ECC, Oracle on-premise, Epic ERP) to modern cloud data ecosystems. You will operate across cloud architecture, data engineering, ontology modeling, and executive stakeholder engagement—owning end-to-end delivery of 12–18+ month transformation programs while serving as a trusted advisor to C-suite and enterprise architecture leaders.

This position is remote within the US, with up to 40% travel to client sites.Required Skills:

• 7–10+ years of experience in enterprise data engineering, system integration, or large-scale data migration initiatives
• 3–5+ years leading end-to-end enterprise data migration or multi-system consolidation programs with full technical ownership
• Proven experience delivering migrations involving 3+ heterogeneous systems and 100M+ records, including complex master data harmonization and phased cutovers
• Advanced proficiency in Python and SQL, with hands-on experience in PySpark and TypeScript/JavaScript
• Deep expertise in ETL/ELT and integration platforms (Informatica, Talend, Matillion, Fivetran, AWS Glue, Azure Data Factory)
• Experience building scalable, version-controlled data pipelines with error handling, incremental loading, and Change Data Capture (CDC)
• Strong working knowledge of at least one major cloud provider (AWS, Azure, or GCP), including infrastructure, managed data services, and security best practices
• Experience with modern data warehouse and lakehouse platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse, Delta Lake)
• Hands-on integration with enterprise systems such as SAP (RFC, IDoc, BAPI, OData) and Oracle (AQ, GoldenGate, APIs)
• Familiarity with semantic modeling, knowledge graphs, ontology frameworks (RDF, OWL), or platforms such as Neo4j or Stardog
• Experience integrating LLMs or AI-driven tooling into transformation or schema mapping workflows
• Client-facing experience advising C-level executives and enterprise stakeholders
• Industry depth in at least two sectors such as Healthcare, Financial Services, Manufacturing, Retail, Energy & Utilities, or Public Sector

Bonus Skills:

• Certifications in AI, SAP, cloud architecture, or data governance (e.g., AWS Solutions Architect, Azure Data Engineer, CDMP, SAP Technology Associate)
• Production experience with real-time streaming platforms (Kafka, Kinesis, Event Hubs, Pub/Sub)
• Expertise with enterprise MDM platforms (Informatica MDM, SAP MDG, Profisee, Reltio)
• Experience building APIs, microservices, and implementing service mesh patterns
• Proficiency with CI/CD pipelines and infrastructure-as-code tools (Jenkins, GitLab CI, Azure DevOps, Terraform, ArgoCD)
• Strong understanding of data privacy and regulatory compliance frameworks (GDPR, HIPAA, SOC 2, CCPA, FedRAMP)
• Familiarity with process mining, data observability, and catalog/lineage platforms (Celonis, Monte Carlo, Collibra, Alation, Apache Atlas)
• Working knowledge of financial close, supply chain, procurement, or revenue cycle workflows
• Experience with industry-specific standards such as EDI, HL7, FHIR, SWIFT, or XBRL

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

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