We are seeking a Lead Data Engineer with deep AWS expertise to guide the design, development, and optimization of our enterprise-scale data pipelines and products. In this role, you will not only contribute technically but also provide leadership to a team of data engineers, partner closely with data architects, and play a key role in planning, estimating, and resourcing major data initiatives. You’ll work on high-impact projects that integrate and transform large volumes of data from multiple enterprise systems into reliable, accessible, and high-quality data products that power analytics, reporting, and decision-making across the organization.  This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX.Key Responsibilities: <ul><li>Lead the end-to-end design, development, and optimization of scalable data pipelines and products on AWS, leveraging services such as S3, Glue, Redshift, Athena, EMR, and Lambda. </li><li>Provide day-to-day technical leadership and mentorship to a team of data engineers—setting coding standards, reviewing pull requests, and fostering a culture of engineering excellence. </li><li>Partner with data architects to define target data models, integration patterns, and platform roadmaps that align with AECOM’s enterprise data strategy. </li><li>Own project planning, estimation, resourcing, and sprint management for major data initiatives, ensuring on-time, on-budget delivery. </li><li>Implement robust ELT/ETL frameworks, including orchestration (e.g., Airflow or AWS Step Functions), automated testing, and CI/CD pipelines to enable rapid, reliable deployments. </li><li>Champion data quality, governance, and security; establish monitoring, alerting, and incident-response processes that keep data products highly available and trustworthy. </li><li>Optimize performance and cost across storage, compute, and network layers; conduct periodic architecture reviews and tuning exercises. </li><li>Collaborate with analytics, reporting, and business teams to translate requirements into reliable, production-ready data assets that power decision-making at scale. </li><li>Stay current with the AWS ecosystem and industry best practices, continuously evaluating new services and technologies to enhance AECOM’s data platform. </li><li>Provide clear, concise communication to stakeholders at all levels, articulating trade-offs, risks, and recommendations in business-friendly language. </li></ul>

AECOM is the world&rsquo;s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle &ndash; from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM.

Lead Data Engineer - Hybrid (Houston or Dallas, TX)

We are seeking a Lead Data Engineer with deep AWS expertise to guide the design, development, and optimization of our enterprise-scale data pipelines and products. In this role, you will not only contribute technically but also provide leadership to a team of data engineers, partner closely with data architects, and play a key role in planning, estimating, and resourcing major data initiatives. You’ll work on high-impact projects that integrate and transform large volumes of data from multiple enterprise systems into reliable, accessible, and high-quality data products that power analytics, reporting, and decision-making across the organization. &nbsp;This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX.Key Responsibilities:&nbsp;<ul><li>Lead the end-to-end design, development, and optimization of scalable data pipelines and products on AWS, leveraging services such as S3, Glue, Redshift, Athena, EMR, and Lambda.&nbsp;</li><li>Provide day-to-day technical leadership and mentorship to a team of data engineers—setting coding standards, reviewing pull requests, and fostering a culture of engineering excellence.&nbsp;</li><li>Partner with data architects to define target data models, integration patterns, and platform roadmaps that align with AECOM’s enterprise data strategy.&nbsp;</li><li>Own project planning, estimation, resourcing, and sprint management for major data initiatives, ensuring on-time, on-budget delivery.&nbsp;</li><li>Implement robust ELT/ETL frameworks, including orchestration (e.g., Airflow or AWS Step Functions), automated testing, and CI/CD pipelines to enable rapid, reliable deployments.&nbsp;</li><li>Champion data quality, governance, and security; establish monitoring, alerting, and incident-response processes that keep data products highly available and trustworthy.&nbsp;</li><li>Optimize performance and cost across storage, compute, and network layers; conduct periodic architecture reviews and tuning exercises.&nbsp;</li><li>Collaborate with analytics, reporting, and business teams to translate requirements into reliable, production-ready data assets that power decision-making at scale.&nbsp;</li><li>Stay current with the AWS ecosystem and industry best practices, continuously evaluating new services and technologies to enhance AECOM’s data platform.&nbsp;</li><li>Provide clear, concise communication to stakeholders at all levels, articulating trade-offs, risks, and recommendations in business-friendly language.&nbsp;</li></ul>

Lead Data Engineer - Hybrid (Houston or Dallas, TX)

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AECOM

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