R3 Technology Inc
Technical Delivery Manager (San Jose)
R3 Technology Inc, San Jose, California, United States, 95199
Position: Technical Delivery Manager
Location: San Jose, CA--
Onsite Experience:
12+
Years Skills:
Hadoop, BigQuery, AI/ML , Cloud Platforms, Team Management (Onshore/Offshore) We are seeking a highly skilled
Technical Service Delivery Manager
with strong hands-on experience in
Hadoop, Google BigQuery , and knowledge of
AI/ML technologies . This role requires a seasoned leader capable of managing
large-scale data platforms , ensuring seamless service delivery, and coordinating with
onshore and offshore teams
to meet client expectations and business goals. Key Responsibilities Service Delivery & Operations Oversee end-to-end technical service delivery for data platforms built on
Hadoop, BigQuery, and cloud ecosystems . Ensure high availability, scalability, and performance of data pipelines and data warehouse environments. Monitor SLAs, KPIs, service metrics, and proactively drive issue resolution. Manage change, incident, and problem management processes following ITIL best practices. Technical Leadership Provide hands-on technical guidance in
Hadoop ecosystem components
(HDFS, Hive, Spark, Yarn, Oozie, Kafka). Lead optimization of BigQuery environments including performance tuning, cost optimization, and data modeling. Work closely with engineering teams to integrate
AI/ML models
into data pipelines and operational platforms. Drive automation and efficiency improvements using modern DevOps and cloud-native tools. Team & Stakeholder Management Lead and mentor both
onshore and offshore teams , including data engineers, analysts, and support engineers. Coordinate resource allocation, workload distribution, and shift planning for 24/7 or follow-the-sun operations. Collaborate with cross-functional teamsarchitecture, product, QA, and cloud operationsto ensure seamless project execution. Maintain strong customer relationships and act as the primary point of escalation for clients. Project & Delivery Management Drive project planning, delivery roadmaps, and release management activities. Conduct risk assessments and implement mitigation strategies. Prepare and present weekly/monthly status reports to stakeholders and senior management. Ensure adherence to compliance, governance, and security standards. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related field. 12+ years of experience
in data engineering, big data technologies, or service delivery roles. Strong hands-on expertise in the
Hadoop ecosystem
(Hive, Spark, HDFS, Kafka, Oozie). Practical experience with
Google BigQuery , including SQL, optimization, and cost management. Working knowledge of
AI/ML concepts , model integration, and cloud-based ML tools. Proven experience managing
onshore and offshore teams
in a delivery environment. Strong analytical, problem-solving, and communication skills. Experience with cloud platforms (GCP, AWS, or Azure) and DevOps tools preferred. ITIL certification is a plus.
Onsite Experience:
12+
Years Skills:
Hadoop, BigQuery, AI/ML , Cloud Platforms, Team Management (Onshore/Offshore) We are seeking a highly skilled
Technical Service Delivery Manager
with strong hands-on experience in
Hadoop, Google BigQuery , and knowledge of
AI/ML technologies . This role requires a seasoned leader capable of managing
large-scale data platforms , ensuring seamless service delivery, and coordinating with
onshore and offshore teams
to meet client expectations and business goals. Key Responsibilities Service Delivery & Operations Oversee end-to-end technical service delivery for data platforms built on
Hadoop, BigQuery, and cloud ecosystems . Ensure high availability, scalability, and performance of data pipelines and data warehouse environments. Monitor SLAs, KPIs, service metrics, and proactively drive issue resolution. Manage change, incident, and problem management processes following ITIL best practices. Technical Leadership Provide hands-on technical guidance in
Hadoop ecosystem components
(HDFS, Hive, Spark, Yarn, Oozie, Kafka). Lead optimization of BigQuery environments including performance tuning, cost optimization, and data modeling. Work closely with engineering teams to integrate
AI/ML models
into data pipelines and operational platforms. Drive automation and efficiency improvements using modern DevOps and cloud-native tools. Team & Stakeholder Management Lead and mentor both
onshore and offshore teams , including data engineers, analysts, and support engineers. Coordinate resource allocation, workload distribution, and shift planning for 24/7 or follow-the-sun operations. Collaborate with cross-functional teamsarchitecture, product, QA, and cloud operationsto ensure seamless project execution. Maintain strong customer relationships and act as the primary point of escalation for clients. Project & Delivery Management Drive project planning, delivery roadmaps, and release management activities. Conduct risk assessments and implement mitigation strategies. Prepare and present weekly/monthly status reports to stakeholders and senior management. Ensure adherence to compliance, governance, and security standards. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related field. 12+ years of experience
in data engineering, big data technologies, or service delivery roles. Strong hands-on expertise in the
Hadoop ecosystem
(Hive, Spark, HDFS, Kafka, Oozie). Practical experience with
Google BigQuery , including SQL, optimization, and cost management. Working knowledge of
AI/ML concepts , model integration, and cloud-based ML tools. Proven experience managing
onshore and offshore teams
in a delivery environment. Strong analytical, problem-solving, and communication skills. Experience with cloud platforms (GCP, AWS, or Azure) and DevOps tools preferred. ITIL certification is a plus.