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Data Engineering Team Lead

Reads like a Data Leadership role: running a data team.

Austin, TX, US

Pay
Pay not listedSimilar roles state $153K–$225K
Work setting
Not stated
Employment
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We are looking for a highly skilled Data Engineering Team Lead with a deep background in big data architectures and a proven track record of leading high-performing technical teams. You should be passionate about extreme performance and excited by the challenge of managing massive data streams. Your success will be measured by your ability to scale the engineering organization, design robust data quality frameworks, and deliver the infrastructure required for advanced machine learning feature serving. This is a full-time position based in Austin, TX, or New York, NY What will you do at Smadex? You will lead our core Data Engineering group, reporting directly to the Chief Data Officer . You will be the architect and leader for a collaborative group of engineers responsible for enabling complex data to be available in our real-time bidding platform for Machine Learning models. As the leader, you will oversee the formation and growth of two specialized sub-teams: Data Quality and Feature Engineering. We foster a fast-paced environment where autonomy is valued, and you will provide the platform for your team to solve extreme engineering challenges while growing their careers. You will lead the strategic expansion of our data capabilities, managing the end-to-end lifecycle of our data pipelines. You will be responsible for building out two distinct sub-teams: Data Quality Team: Focused on building automated testing, observability, and validation frameworks to ensure our massive data ingestion is accurate and reliable. Feature Engineering Team: Focused on bridging the gap between raw data and ML inference, building the "Feature Store" and Spark pipelines that feed our real-time bidding models. You will define the technical roadmap, mentor senior and junior engineers, and ensure operational excellence across our distributed systems.
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What you’ll work on

Full posting
  • Lead and grow the core Data Engineering group and its two sub-teams

  • Build automated testing, observability, and validation frameworks for data ingestion

  • Build the Feature Store and Spark pipelines that feed real-time bidding models

  • Define the technical roadmap and mentor senior and junior engineers

  • Manage the end-to-end lifecycle of data pipelines

From the employer’s posting
you will oversee the formation and growth of two specialized sub-teams: Data Quality and Feature Engineering
Focused on building automated testing, observability, and validation frameworks
building the "Feature Store" and Spark pipelines that feed our real-time bidding models
You will define the technical roadmap, mentor senior and junior engineers
managing the end-to-end lifecycle of our data pipelines

What you’ll bring

All qualifications

Core experience

  • Deep background in big data architectures
  • Proven track record of leading high-performing technical teams
Qualification wording
deep background in big data architectures
proven track record of leading high-performing technical teams

Tools in this posting

  • Spark
Source — Tool mentions in context
We are looking for a highly skilled Data Engineering Team Lead with a deep background in big data architectures and a proven track record of leading high-performing technical teams. You should be passionate about extreme performance and excited by the challenge of managing massive data streams. Your success will be measured by your ability to scale the engineering organization, design robust data quality frameworks, and deliver the infrastructure required for advanced machine learning feature serving. This is a full-time position based in Austin, TX, or New York, NY What will you do at Smadex? You will lead our core Data Engineering group, reporting directly to the Chief Data Officer . You will be the architect and leader for a collaborative group of engineers responsible for enabling complex data to be available in our real-time bidding platform for Machine Learning models. As the leader, you will oversee the formation and growth of two specialized sub-teams: Data Quality and Feature Engineering. We foster a fast-paced environment where autonomy is valued, and you will provide the platform for your team to solve extreme engineering challenges while growing their careers. You will lead the strategic expansion of our data capabilities, managing the end-to-end lifecycle of our data pipelines. You will be responsible for building out two distinct sub-teams: Data Quality Team: Focused on building automated testing, observability, and validation frameworks to ensure our massive data ingestion is accurate and reliable. Feature Engineering Team: Focused on bridging the gap between raw data and ML inference, building the "Feature Store" and Spark pipelines that feed our real-time bidding models. You will define the technical roadmap, mentor senior and junior engineers, and ensure operational excellence across our distributed systems.

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Status in our records
Live
First seen by us
Sep 8, 2026 · 51 days ago
Recorded sightings
120
Last seen by us
Oct 29, 2026
Employer says posted
Sep 4, 2026

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Job description

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We are looking for a highly skilled Data Engineering Team Lead with a deep background in big data architectures and a proven track record of leading high-performing technical teams. You should be passionate about extreme performance and excited by the challenge of managing massive data streams. Your success will be measured by your ability to scale the engineering organization, design robust data quality frameworks, and deliver the infrastructure required for advanced machine learning feature serving. This is a full-time position based in Austin, TX, or New York, NY What will you do at Smadex? You will lead our core Data Engineering group, reporting directly to the Chief Data Officer . You will be the architect and leader for a collaborative group of engineers responsible for enabling complex data to be available in our real-time bidding platform for Machine Learning models. As the leader, you will oversee the formation and growth of two specialized sub-teams: Data Quality and Feature Engineering. We foster a fast-paced environment where autonomy is valued, and you will provide the platform for your team to solve extreme engineering challenges while growing their careers. You will lead the strategic expansion of our data capabilities, managing the end-to-end lifecycle of our data pipelines. You will be responsible for building out two distinct sub-teams: Data Quality Team: Focused on building automated testing, observability, and validation frameworks to ensure our massive data ingestion is accurate and reliable. Feature Engineering Team: Focused on bridging the gap between raw data and ML inference, building the "Feature Store" and Spark pipelines that feed our real-time bidding models. You will define the technical roadmap, mentor senior and junior engineers, and ensure operational excellence across our distributed systems.
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Austin, TX, US

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