Onsite Technical Lead - Data Engineering
Posted today
itc infotechTempe (AZ)
Data Warehousing SpecialistsComputer Systems Design Services
SENIORITY
Lead
About the role
ITC Infotech is Onsite Technical Lead - Data Engineering to join our team in Tempe, AZ.Work Set up: You'll have to be there in office for 4 business days in week. About Us:ITC Infotech is a leading global technology services and solutions provider, led by Business and Technology Consulting.We provide business-friendly solutions to help clients succeed and be future-ready, by seamlessly bringing together digital expertise, strong industry specific alliances and the unique ability to leverage deep domain expertise from ITC Group businesses. We provide technology solutions and services to enterprises across industries such as Banking & Financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality, through a combination of traditional and newer business models, as a long-term sustainable partner.Role OverviewWe are seeking an experienced Onsite Technical Lead to serve as the primary bridge between the client and an offshore delivery team across various active workstreams that includes Production Support Operations, Application Development & Maintenance. The ideal candidate combines strong hands-on data engineering skills with the communication, coordination, and business acumen needed to operate effectively in a fast-paced client environment. While there would be multiple workstreams in scope, production support takes priority — the ability to respond quickly, communicate clearly under pressure, and ensure SLA adherence is essential.Key ResponsibilitiesServe as the onsite point of contact for the client, coordinating day-to-day activities across support and development.Lead morning production support operations — pipeline monitoring, incident triage, data validation, and escalation — ensuring data readiness SLAs are metAct as the primary communication bridge between client stakeholders and the offshore ITCI delivery team — translating business needs into technical direction and vice versaDesign and develop scalable Snowflake-based data solutions and ELT/ETL pipelines as part of ADM deliveryDevelop and manage Airflow workflows and orchestration frameworksImplement Spec-Driven Development using Cursor and AI-assisted engineering practices.Create Power BI-ready semantic layers and analytics datasets; support executive reporting validationDrive automation, testing, monitoring, and CI/CD best practices across all three tracksCoordinate stand-ups, status updates, and stakeholder communications — ensuring offshore team context is current and client expectations are managed proactivelyDemonstrate flexibility and ownership during critical business periods, including early-morning support windows and time-sensitive incidentsExperience Required & Education8–12 years of experience in Data Engineering, Cloud Data Platforms, or a combination of engineering and technical delivery rolesBachelor's or Master's degree in Computer Science, Engineering, or a related fieldMust-HaveStrong expertise in Snowflake (Architecture, Data Modeling, Performance Tuning, Streams & Tasks)Strong expertise in Python and advanced SQLExperience building and supporting scalable ETL/ELT pipelines in production environmentsStrong knowledge of Apache Airflow for workflow orchestration and DAG-level incident managementHands-on experience with AWS services — S3, Glue, Lambda, CloudWatch, Secrets Manager, SNS/SQSExperience with Power BI datasets, semantic models, and report validationStrong understanding of Git, CI/CD, and DataOps practicesProven experience in a client-facing or embedded onsite role — managing stakeholder expectations, communicating technical status clearly, and maintaining trust during incidents.Demonstrated ability to coordinate between an onsite client environment and an offshore or distributed delivery teamHands-on production support experience with defined SLAs — owning incident response from detection through resolution and RCAAbility to triage, prioritize, and route incoming requests across parallel workstreams without creating delivery bottlenecksExperience integrating data from APIs, SaaS applications, and enterprise systemsGood to HaveHands-on experience with Snowflake Cortex (Cortex Analyst, Cortex Search, AI-powered analytics)Proficiency in Cursor IDE and AI-assisted or Spec-Driven Development (SDD)Experience with Terraform and Infrastructure as CodeExposure to Datadog or enterprise monitoring toolsExperience with AI/GenAI-driven data engineering solutionsFamiliarity with running parallel workstreams — balancing operational support priorities against active development deliveryExperience with structured change management processes (CAB, change tickets, deployment approvals) in an enterprise client environmentRetail, Consumer, or QSR domain experienceExperience working in Agile product delivery teamsExposure to modern data platform modernization initiativesWhat We're Looking ForBeyond technical depth, we are looking for someone who takes ownership — someone who doesn't wait to be told there's a problem, communicates proactively when things are at risk, and earns the trust of both the client team and the offshore delivery team. This is a role for a builder who is equally comfortable in the trenches of production support, and who understands that business continuity is always the first priority.ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this
