Onsite Technical Lead - Data Engineering

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 Overview We 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 Responsibilities Serve 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 met Act as the primary communication bridge between client stakeholders and the offshore ITCI delivery team — translating business needs into technical direction and vice versa Design and develop scalable Snowflake-based data solutions and ELT/ETL pipelines as part of ADM delivery Develop and manage Airflow workflows and orchestration frameworks Implement Spec-Driven Development using Cursor and AI-assisted engineering practices. Create Power BI-ready semantic layers and analytics datasets; support executive reporting validation Drive automation, testing, monitoring, and CI/CD best practices across all three tracks Coordinate stand-ups, status updates, and stakeholder communications — ensuring offshore team context is current and client expectations are managed proactively Demonstrate flexibility and ownership during critical business periods, including early-morning support windows and time-sensitive incidents Experience Required & Education 8–12 years of experience in Data Engineering, Cloud Data Platforms, or a combination of engineering and technical delivery roles Bachelor's or Master's degree in Computer Science, Engineering, or a related field Must-Have Strong expertise in Snowflake (Architecture, Data Modeling, Performance Tuning, Streams & Tasks) Strong expertise in Python and advanced SQL Experience building and supporting scalable ETL/ELT pipelines in production environments Strong knowledge of Apache Airflow for workflow orchestration and DAG-level incident management Hands-on experience with AWS services — S3, Glue, Lambda, CloudWatch, Secrets Manager, SNS/SQS Experience with Power BI datasets, semantic models, and report validation Strong understanding of Git, CI/CD, and DataOps practices Proven 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 team Hands-on production support experience with defined SLAs — owning incident response from detection through resolution and RCA Ability to triage, prioritize, and route incoming requests across parallel workstreams without creating delivery bottlenecks Experience integrating data from APIs, SaaS applications, and enterprise systems Good to Have Hands-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 Code Exposure to Datadog or enterprise monitoring tools Experience with AI/GenAI-driven data engineering solutions Familiarity with running parallel workstreams — balancing operational support priorities against active development delivery Experience with structured change management processes (CAB, change tickets, deployment approvals) in an enterprise client environment Retail, Consumer, or QSR domain experience Experience working in Agile product delivery teams Exposure to modern data platform modernization initiatives What We're Looking For Beyond 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. #J-18808-Ljbffr ITC Infotech