Data Services Architect

Posted 3 Days Ago
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San Francisco, CA
Hybrid
Senior level
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
We deliver better experiences for consumers and better results for your brand.
The Role
Lead a team overseeing Big Data infrastructure and tools, focusing on operational procedures, data security, and architecture in cloud environments.
Summary Generated by Built In

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role: 

We are seeking an experienced Architect to spearhead the operational aspects of our data ecosystems, including but not limited to Data Lake, Snowflake, and Aerospike. The ideal candidate will have deep expertise in big data processing (Spark, Hadoop), streaming technologies (Kafka), and large-scale distributed systems. This role will be responsible for designing, optimizing, and managing our data infrastructure to support high-performance analytics and real-time data processing. 

 

Key Responsibilities: 

  • Architect and lead the design, development, and operational management of Data Lake, Snowflake, Aerospike and other data store and processing environments. 
  • Ensure the scalability, performance, and reliability of big data processing frameworks such as Hadoop, Spark, and related technologies. 
  • Develop and manage real-time data streaming solutions using Kafka and other streaming platforms. 
  • Optimize and secure data pipelines for batch and streaming workloads. 
  • Define governance, security, and compliance standards for large-scale data infrastructure. 
  • Collaborate with development, DevOps, product and business teams to align data architecture with business objectives. 
  • Monitor, troubleshoot, and enhance system performance across all data platforms. 
  • Research and recommend emerging technologies in big data, cloud storage, and distributed systems. 

 

Required Qualifications: 

  • 10+ years of experience in data architecture, big data platforms, and distributed computing. 
  • Expertise in Snowflake, Aerospike, ClickHouse, and Data Lake architectures. 
  • Strong hands-on experience with Hadoop ecosystem (HDFS, YARN, Spark, Hive, Presto, etc.). 
  • Proven experience with Kafka and real-time data streaming architectures. 
  • Deep understanding of cloud-based data infrastructure, preferably AWS. 
  • Proficiency in SQL, Python, Scala, or Java for data processing. 
  • Experience with containerization (Docker, Kubernetes) and infrastructure automation (Terraform, Ansible). 
  • Strong analytical and problem-solving skills. 
  • Excellent communication and leadership abilities. 
  • Experience with NoSQL databases (ScyllaDB, Cassandra, MongoDB). 


BENEFITS & PERKS

  • Unlimited PTO
  • Excellent medical, dental, and vision coverage
  • Employee Equity and Stock Purchase Plan
  • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $230,000.00 - $250,000.00, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 


#LI-DD1

Top Skills

Aerospike
Ansible
Big Data
Cassandra
Grafana
Hadoop
Kafka
NoSQL
Prometheus
Saltstack
Scylladb
Shell Scripting
Snowflake
Terraform

What the Team is Saying

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The Company
HQ: New York, NY
2,194 Employees
Hybrid Workplace
Year Founded: 2007

What We Do

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow and retain customers more efficiently.

Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs.

Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.

Why Work With Us

Zeta is deeply committed to enriching our people’s wellbeing and growth throughout their career journeys. Our autonomous environment gives our teammates the freedom and space to grow, be creative, and come up with innovative solutions to reinvent consumer experiences and impact brand growth.

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Zeta Global Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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