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Technical Delivery Manager
Technical Delivery ManagerR3 Technology Inc • San Jose, California, United States
Technical Delivery Manager

Technical Delivery Manager

R3 Technology Inc • San Jose, California, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Talent Acquisition Specialist / Lead US IT Recruiter

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 teams—architecture, product, QA, and cloud operations—to 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

Bachelor’s or Master’s 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.

Employment Details

Seniority Level : Mid‑Senior level

Employment Type : Contract

Job Function :

Finance and Information Technology

Industries :

IT Services and IT Consulting

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