Sr. Manager – Data & AI Support Engineering
On-site · Dallas, Texas, United States
Job Summary
Sr. Manager of the Data & AI Support Engineering team will lead and scale an AI-first, customer-centric organization of Technical Solutions Engineers. You will drive deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms, build AI-enabled support workflows and reusable automations, guide AI governance and safety practices, own and improve KPIs, manage hiring and career development, and act as a hands-on technical leader in Spark Core, Spark SQL, Structured Streaming, Delta Lake, and Databricks Runtime while coordinating with Engineering and Partner teams from the Dallas-based AMER support function.
Required Qualifications
- 10+ years of experience designing, building, troubleshooting, and supporting large-scale Data & AI applications using Python, Java, Scala, Spark, or related distributed technologies
- Strong work experience of AI-enabled support workflows, agentic AI systems, Claude Skills workflows, RAG architectures, vector databases and any other operational automation frameworks
- Proven development/delivery experience at a production scale in Databricks tech stacks like Model serving, Lakehouse, Delta, DLT, Lakeflow, Lakebase platforms is a strong plus
- Experience using AI tools for troubleshooting, root-cause analysis, observability analysis, and support workflow acceleration
- Strong hands-on expertise in Apache Spark, Spark SQL, Structured Streaming, Delta Lake, and distributed data processing systems
- Experience leading production-scale workloads across Big Data, Hadoop, AI/ML, Kafka, Streaming, Data Science, or Analytics platforms
- Strong troubleshooting and performance tuning experience for Spark and JVM-based distributed systems, including memory management, garbage collection, heap analysis, and thread dump analysis
- Hands-on experience with AWS, Azure, or GCP cloud platforms
- Proven experience managing globally distributed technical teams and handling high-severity customer escalations
- Strong analytical, debugging, problem-solving, and distributed systems troubleshooting skills
- Excellent written and verbal communication skills with strong customer-facing leadership abilities
- Strong organizational, multitasking, stakeholder management, and operational leadership capabilities
Desired Qualifications
- Strong leadership and people-management skills
- Experience leading distributed technical teams
- Deep knowledge of Spark, Delta Lake, Lakehouse platforms
- Proven track record in AI-enabled support workflows and observability
- Excellent customer-facing communication
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