TAS Tower Lead

Tata Consultancy Services Ltd

  • Irvine, CA
  • 30 days ago
  • $110,000–$140,000 Per Year

Highlights

Act as the senior escalation point for complex application, workflow, data, cloud, deployment, and production incidents; lead root cause analysis and drive permanent corrective actions. Design, develop, troubleshoot, optimize, and support Alteryx workflows, including data-source integration, transformations, scheduling, performance tuning, and production issue resolution.

Numbers & Facts

LocationIrvine, CA
Salary$110,000–$140,000 Per Year

Description

Role: Technical Lead

Required Skills: Python

Experience: 8 - 12 Years

Function: TECHNOLOGY

Apply By: 2026-12-12

TAS Tower Lead

The TAS Lead is a senior hands-on technical leader responsible for designing, developing, deploying, supporting, and

continuously improving enterprise data and analytics solutions. The role leads the end-to-end technical flow across data

processing, workflow orchestration, AWS cloud services, containerized deployment, CI/CD automation, and production

troubleshooting. The lead will provide technical direction to the offshore team, review deliverables, resolve complex

production issues, and ensure solutions are secure, scalable, reliable, and supportable.

Key Responsibilities

  • Lead the design, development, enhancement, and support of data-processing and analytics solutions using Alteryx,

Python, R, SQL, and PL/SQL, with Alteryx as a mandatory hands-on skill.

  • Own the complete technical flow from data ingestion and transformation through orchestration, cloud integration, container deployment, release automation, monitoring, and production support.
  • Design, develop, troubleshoot, optimize, and support Alteryx workflows, including data-source integration, transformations, scheduling, performance tuning, and production issue resolution.
  • Develop Python- and R-based solutions for automation, data processing, analytics, API integration, statistical analysis, and operational tooling.
  • Design and optimize SQL queries and PL/SQL procedures to support reliable, high-performing database processing and

business logic.

  • Build and support AWS-based capabilities using S3 for object storage, Secrets Manager for secure credential handling,

SNS for notifications/events, and ECR for container image storage.

  • Develop, schedule, monitor, and troubleshoot workflows and data pipelines using Airflow, including dependency

management, failure handling, and operational recovery.

  • Support containerized application deployment and runtime operations using Kubernetes, including configuration,

monitoring, troubleshooting, and production stability.

  • Implement and maintain CI/CD pipelines using Harness, including build, deployment, validation, release controls, and

rollback readiness.

  • Act as the senior escalation point for complex application, workflow, data, cloud, deployment, and production incidents;

lead root cause analysis and drive permanent corrective actions.

  • Guide the offshore team through solution design, development standards, code and design reviews, troubleshooting,

deployment readiness, documentation, and knowledge transfer.

  • Partner with data, application, cloud, DevOps, security, testing, support, and business stakeholders to deliver secure and reliable solutions
  • Maintain architecture notes, technical documentation, runbooks, SOPs, support procedures, release records, and

operational knowledge artifacts.

  • Identify and implement opportunities for automation, performance improvement, reliability, observability, support efficiency, and continuous improvement.

Required Technical Skills

Core Data & Analytics - Alteryx (mandatory), Python, R, SQL, and PL/SQL. Strong hands-on experience designing,

developing, troubleshooting, optimizing, and supporting production workflows and analytics solutions.

AWS Cloud - Hands-on experience with Amazon S3, AWS Secrets Manager, SNS, and ECR, including secure

configuration and operational support.

Workflow Orchestration - Airflow workflow development, scheduling, dependency management, monitoring, troubleshooting,

and recovery.

Container Platform - Kubernetes deployments, configuration, monitoring, runtime troubleshooting, and issue resolution for

containerized services.

CI/CD & Release - Harness pipeline design and support covering build, deployment, validation, release controls, and

rollback readiness.

Production Engineering - Advanced debugging, performance tuning, root cause analysis, secure secrets handling, monitoring,

incident resolution, and operational reliability.

Leadership and Collaboration Skills

  • Demonstrated ability to lead through hands-on technical contribution, sound engineering judgment, and end-to-end

ownership.

  • Experience working with distributed onshore and offshore teams and converting business and technical requirements into

executable delivery plans.

  • Ability to conduct code, workflow, design, and deployment reviews; enforce engineering standards; and mentor team

members.

  • Strong communication, stakeholder management, analytical problem-solving, and decision-making skills.
  • Ability to coordinate and support critical production incidents, planned implementations, and post-release validation as

required.

Preferred Qualifications

  • Experience delivering enterprise data, analytics, workflow automation, or cloud-native solutions in regulated environments.
  • Experience with observability, platform reliability, secure engineering, and production support practices.
  • Knowledge of release governance, audit readiness, operational controls, incident management, and

continuous-improvement methods.

Salary Range- $110,000-$140,000 a year

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