Scan your resume against ATS criteria for this Data Engineering Manager role at verve.
Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at verve.com .
Provide full supervision and support for the local data engineering pod, spanning both data-platform and analytics/reporting work streams.
Manage team capacity, lead hiring to backfill and grow the pod, and define team charters that support a fast-evolving data platform roadmap.
Foster a high-performance culture across a distributed organization (Bangalore and EU), recent hires and establishing strong operational discipline (on-call/IRM, runbooks, incident response).
Plan and execute multi-quarter initiatives with many interdependencies (e.g., the data lakehouse re-architecture (Apache Flink on GKE), the dedicated CTV late-impression pipeline, and CI/CD automation (ArgoCD)) ensuring alignment with architectural standards.
Refine the team's engineering processes, methodologies, and technical standards: code quality, infrastructure-as-code, deployment automation, observability, and cost optimization.
Partner closely with Product Management, Backend Engineering, Data Science, and Analytics to align the platform roadmap with business objectives.
Stay active in technical implementation (estimated 50-70% hands-on): designing pipelines, delivering new product features, reviewing architecture and code, addressing tech debts, and troubleshooting production data issues.
Undertake production responsibilities including setting up monitoring and alerts, support, troubleshooting, incident management and communication, and postmortem.
Independently design maintainable and scalable data systems for complex, high-throughput streaming and batch pipelines. Be aware and manage the infrastructure cost of data systems.
Minimum of 8 years of experience in Data Engineering, with a focus on leadership in technical settings.
AdTech industry expertise (specifically programmatic auctions and high-volume bid/impression/RTB data) is strongly preferred.
Expert knowledge of Python and SQL.
Deep, hands-on experience with distributed data processing and streaming: Apache Spark / Spark Streaming and Apache Flink.
Strong experience operating high-throughput event streaming and messaging with Apache Kafka.
Proficiency with the Google Cloud data stack (BigQuery, GKE, GCS, Dataflow/Vertex AI) and infrastructure-as-code (Terraform).
Experience building and operating CI/CD for data pipelines (e.g., ArgoCD, containerized/Docker deployments).
Working knowledge of lakehouse and open table formats (e.g., Iceberg/Delta) and the trade-offs between real-time and batch architectures (latency, cost, governance).
Familiarity with analytics/OLAP and BI tooling (e.g., Druid, Looker, Rill/Turnilo) and dimensional data modeling.
Just a few of the benefits waiting for you at Verve:
Keep healthy through our
, and stay covered with our
for you and your family
Pick what matters most to you in our INR 4100/month
Have us cover your
, and enjoy office sweets, snacks, and beverages
Boost your professional knowledge with our annual
, and level up your language skills through our
Recharge with
throughout the year, in addition to the public holidays
Strengthen team connections while exploring new cultures through our monthly
offering a chance to work from of our global offices (after 2 years of employment)
… and even more reasons to join us!
Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you are a California resident subject to the California Consumer Privacy Act, click here to understand how Verve processes your personal information and how you can exercise your rights.
If you are located in the EU or UK visit our privacy policy to understand how Verve processes your personal information and how you can exercise your rights.
Provide full supervision and support for the local data engineering pod, spanning both data-platform and analytics/reporting work streams.
Manage team capacity, lead hiring to backfill and grow the pod, and define team charters that support a fast-evolving data platform roadmap.
Foster a high-performance culture across a distributed organization (Bangalore and EU), recent hires and establishing strong operational discipline (on-call/IRM, runbooks, incident response).
Plan and execute multi-quarter initiatives with many interdependencies (e.g., the data lakehouse re-architecture (Apache Flink on GKE), the dedicated CTV late-impression pipeline, and CI/CD automation (ArgoCD)) ensuring alignment with architectural standards.
Refine the team's engineering processes, methodologies, and technical standards: code quality, infrastructure-as-code, deployment automation, observability, and cost optimization.
Partner closely with Product Management, Backend Engineering, Data Science, and Analytics to align the platform roadmap with business objectives.
Stay active in technical implementation (estimated 50-70% hands-on): designing pipelines, delivering new product features, reviewing architecture and code, addressing tech debts, and troubleshooting production data issues.
Undertake production responsibilities including setting up monitoring and alerts, support, troubleshooting, incident management and communication, and postmortem.
Independently design maintainable and scalable data systems for complex, high-throughput streaming and batch pipelines. Be aware and manage the infrastructure cost of data systems.
Minimum of 8 years of experience in Data Engineering, with a focus on leadership in technical settings.
AdTech industry expertise (specifically programmatic auctions and high-volume bid/impression/RTB data) is strongly preferred.
Expert knowledge of Python and SQL.
Deep, hands-on experience with distributed data processing and streaming: Apache Spark / Spark Streaming and Apache Flink.
Strong experience operating high-throughput event streaming and messaging with Apache Kafka.
Proficiency with the Google Cloud data stack (BigQuery, GKE, GCS, Dataflow/Vertex AI) and infrastructure-as-code (Terraform).
Experience building and operating CI/CD for data pipelines (e.g., ArgoCD, containerized/Docker deployments).
Working knowledge of lakehouse and open table formats (e.g., Iceberg/Delta) and the trade-offs between real-time and batch architectures (latency, cost, governance).
Familiarity with analytics/OLAP and BI tooling (e.g., Druid, Looker, Rill/Turnilo) and dimensional data modeling.
Just a few of the benefits waiting for you at Verve:
Keep healthy through our
, and stay covered with our
for you and your family
Pick what matters most to you in our INR 4100/month
Have us cover your
, and enjoy office sweets, snacks, and beverages
Boost your professional knowledge with our annual
, and level up your language skills through our
Recharge with
throughout the year, in addition to the public holidays
Strengthen team connections while exploring new cultures through our monthly
offering a chance to work from of our global offices (after 2 years of employment)
… and even more reasons to join us!
Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you are a California resident subject to the California Consumer Privacy Act, click here to understand how Verve processes your personal information and how you can exercise your rights.
If you are located in the EU or UK visit our privacy policy to understand how Verve processes your personal information and how you can exercise your rights.
How to apply for Data Engineering Manager at verve?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
8+ yrs of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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