Asks for

The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Champion best practices in data governance, security, and compliance (GDPR, CCPA)”
The ad says“Knowledge of privacy-preserving analytics and clean room technologies”
The ad says“Lead the evolution from current state to a modern, cloud-native data platform with embedded ML/AI capabilities”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Champion best practices in data governance, security, and compliance (GDPR, CCPA)”
The ad says“Deep expertise in modern data architectures (data mesh, lakehouse, streaming-first)”
The ad says“Define and execute a transformative vision for our data platform architecture that scales to billions of daily events”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Champion best practices in data governance, security, and compliance (GDPR, CCPA)”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Evaluate and implement emerging technologies (streaming architectures, lakehouse patterns, ML platforms)”
The ad says“Evaluate and implement emerging technologies (streaming architectures, lakehouse patterns, ML platforms)”
The ad says“Drive adoption of next-generation technologies including vector databases and ML-powered analytics”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Establish MLOps practices for embedding model lifecycle management”
The ad says“Knowledge of privacy-preserving analytics and clean room technologies”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Evaluate and implement emerging technologies (streaming architectures, lakehouse patterns, ML platforms)”
The ad says“Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)”
The ad says“Drive adoption of next-generation technologies including vector databases and ML-powered analytics”
The ad says“Experience building production embedding systems and vector databases”

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.

We're seeking a Senior Director to lead and transform our data platform and cloud services architecture. This role is not about incremental improvements – we need someone who can lead and execute a leap forward in our data infrastructure capabilities, positioning Samba at the forefront of TV data analytics and AI-driven insights.

What you’ll do:

Strategic Leadership

Define and execute a transformative vision for our data platform architecture that scales to billions of daily events
Partner with CTO and engineering leadership to align platform strategy with business objectives
Drive adoption of next-generation technologies including vector databases and ML-powered analytics
Build strategic roadmaps that balance innovation with operational excellence

Technical Architecture

Lead the evolution from current state to a modern, cloud-native data platform with embedded ML/AI capabilities
Work with the team to deliver fault-tolerant, multi-region architectures supporting real-time and batch processing
Build and maintain the services, platforms, and frameworks enabling Samba’s data engineering teams
Architect embedding-based systems for content understanding, viewer similarity, and semantic search
Deliver infrastructure for vector storage, indexing, and retrieval at scale (billions of embeddings)
Champion best practices in data governance, security, and compliance (GDPR, CCPA)
Evaluate and implement emerging technologies (streaming architectures, lakehouse patterns, ML platforms)

ML/AI Infrastructure

Design platforms for embedding generation, storage, and serving at scale
Implement vector search capabilities for real-time recommendations and content discovery
Build infrastructure supporting multimodal embeddings (video, audio, text metadata)
Enable self-service ML capabilities for data scientists and analysts
Establish MLOps practices for embedding model lifecycle management

Team & Organizational Development

Build and mentor a world-class team of platform engineers, ML engineers, and architects
Foster a culture of innovation, experimentation, and continuous learning
Establish clear career paths and growth opportunities for team members
Drive cross-functional collaboration with data science, product, and engineering teams

Operational Excellence

Establish SLAs and monitoring frameworks for internal and external clients
Provide observability tools for Data Engineering and Data Science, including tools to enforce data quality
Lead vendor relationships and technology partnerships
Drive automation and self-service capabilities for internal customers

Who you are:

12+ years in data platform/infrastructure roles, with 5+ years in senior leadership
Proven track record of leading large-scale platform transformations
Experience building production embedding systems and vector databases
History of building and scaling teams of 20+ engineers
Deep expertise in modern data architectures (data mesh, lakehouse, streaming-first)
Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)
Exceptional communication skills to articulate complex technical concepts to diverse audiences
Strategic thinking with ability to balance long-term vision with short-term deliverables
Strong business acumen to connect technical decisions with business outcomes
Track record of influencing without authority across organizational boundaries
Knowledge of privacy-preserving analytics and clean room technologies
Contributions to open-source projects in ML infrastructure or vector search
Advanced degree in Computer Science, Machine Learning, or related field

Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.