🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Role: Technical Lead – Data Engineering Location: Hybrid – Tempe, Arizona. FULLTIME 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 Modelling, 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.