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Manager Customer Data Platform Jobs in Texas (NOW HIRING)

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Platform Engineer Location: Austin, TX or Sunnyvale, CA (Hybrid) Duration: 6 months ... Manage table lifecycle including partitioning, schema evolution, snapshot and metadata management ...

Our goal is to serve our internal customers (operators & support departments) with solutions that ... This role sits at the intersection of product management and data platform delivery, working within ...

Our goal is to serve our internal customers (operators & support departments) with solutions that ... This role sits at the intersection of product management and data platform delivery, working within ...

Our goal is to serve our internal customers (operators & support departments) with solutions that ... This role sits at the intersection of product management and data platform delivery, working within ...

Our goal is to serve our internal customers (operators & support departments) with solutions that ... This role sits at the intersection of product management and data platform delivery, working within ...

Gridsight is the analytics platform that makes this possible. Gridsight is a rapidly growing ... The Role As a Customer Data Analyst, you'll turn our utility customers' data into actionable ...

Responsibilities We are seeking an experienced Data Engineering Manager to lead the design, development, and delivery of scalable data platforms and data products that power personalized customer ...

Responsibilities We are seeking an experienced Data Engineering Manager to lead the design, development, and delivery of scalable data platforms and data products that power personalized customer ...

Responsibilities We are seeking an experienced Data Engineering Manager to lead the design, development, and delivery of scalable data platforms and data products that power personalized customer ...

Responsibilities We are seeking an experienced Data Engineering Manager to lead the design, development, and delivery of scalable data platforms and data products that power personalized customer ...

You will work across CRM, data platforms, digital systems, and analytics to unify fragmented data into a consistent, trusted, and actionable customer view. The ideal candidate brings deep expertise ...

You will work across CRM, data platforms, digital systems, and analytics to unify fragmented data into a consistent, trusted, and actionable customer view. The ideal candidate brings deep expertise ...

Customer Data Specialist

Houston, TX · On-site

$16.25 - $21.50/hr

Comfortable working within CRM platforms, Excel, and structured data environments * Analytical and capable of translating data insights into actionable improvements * Organized, communicative, and ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Implement lifecycle management, backup/recovery, and security protocols * 30% - Performance ...

Data Platform Engineer

Austin, TX · On-site

$135K - $155K/yr

Description Your Ideal Data Platform Engineer Job * Are you passionate about powering the data ... Implement lifecycle management, backup/recovery, and security protocols * 30% - Performance ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Implement lifecycle management, backup/recovery, and security protocols * 30% - Performance ...

AWS Data Platform Engineer

Dallas, TX · On-site

$113K - $136K/yr

... and manage cloud-native data infrastructure using Infrastructure as Code (Terraform). • Build secure, governed data platforms following enterprise security and data governance standards. • ...

Customer Data Specialist

Houston, TX

$16.25 - $21.50/hr

Comfortable working within CRM platforms, Excel, and structured data environments * Analytical and capable of translating data insights into actionable improvements * Organized, communicative, and ...

Showing results 21-40

Manager Customer Data Platform information

What is the difference between Manager Customer Data Platform vs Customer Data Analyst?

AspectManager Customer Data PlatformCustomer Data Analyst
CredentialsBachelor's/Master's in Data Science, Marketing, or related fields; experience with CDP toolsBachelor's in Data Analysis, Statistics, or related fields; proficiency in data querying and visualization
Work EnvironmentLeads teams, manages CDP implementation, strategic planningAnalyzes customer data, generates reports, supports marketing strategies
Industry UsageUsed in marketing, CRM, and data-driven customer engagementCommon in marketing analytics, customer insights, and data reporting

The Manager Customer Data Platform focuses on overseeing CDP systems, team management, and strategic data integration. In contrast, the Customer Data Analyst primarily analyzes customer data to generate insights and support marketing efforts. Both roles require data skills but differ in scope and responsibilities.

What is a Manager Customer Data Platform?

A Manager Customer Data Platform (CDP) is a professional responsible for overseeing the implementation, management, and optimization of a company's customer data platform. This role involves integrating customer data from various sources, ensuring data quality and privacy compliance, and enabling personalized customer experiences. The manager collaborates with marketing, IT, and analytics teams to leverage data for business insights and targeted campaigns. Their primary goal is to maximize the value of customer data to drive business growth and improve customer engagement.

What are the key skills and qualifications needed to thrive as a Manager Customer Data Platform?

To thrive as a Manager Customer Data Platform, you need expertise in data management, analytics, and customer relationship strategies, usually backed by a degree in computer science, information systems, or a related field. Familiarity with CDP tools like Salesforce, Segment, or Adobe Experience Platform, as well as certifications in data privacy or cloud technologies, is often expected. Strong leadership, cross-functional communication, and problem-solving skills help you align technical teams and business stakeholders. These abilities are crucial for driving effective customer data initiatives that support business growth and compliance.

What are some common challenges faced by a Manager Customer Data Platform, and how can they be addressed?

Managers of Customer Data Platforms (CDPs) often encounter challenges related to data integration from multiple sources, ensuring data quality, and maintaining compliance with privacy regulations. Overcoming these challenges requires strong collaboration with IT, marketing, and legal teams, as well as implementing robust data governance frameworks. Staying up-to-date with evolving technology and industry standards is essential to ensure the platform delivers actionable insights and supports business objectives.

What are the most commonly searched types of Customer Data Platform jobs in Texas?

The most popular types of Customer Data Platform jobs in Texas are:

What are popular job titles related to Manager Customer Data Platform jobs in Texas?

For Manager Customer Data Platform jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Manager Customer Data Platform jobs in Texas look for?

The top searched job categories for Manager Customer Data Platform jobs in Texas are:

What cities in Texas are hiring for Manager Customer Data Platform jobs?

Cities in Texas with the most Manager Customer Data Platform job openings:

Infographic showing various Manager Customer Data Platform job openings in Texas as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Platform Engineer

Wise Skulls

Austin, TX • On-site

$113K - $136K/yr

Contractor

Posted 6 days ago


Job description

Title: Data Platform Engineer
Location: Austin, TX or Sunnyvale, CA (Hybrid)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
Job Summary
We are seeking an experienced Data Platform Engineer to architect, build, and operate our cloud-based data lakehouse platform. The role is responsible for developing scalable
data infrastructure and processing pipelines built on open table formats, distributed query and compute engines, and containerized cloud infrastructure - enabling analysts, data
scientists, and downstream applications to access reliable, high-performance data at scale. The ideal candidate combines deep distributed-systems and data engineering expertise with
strong software engineering practices and a passion for building robust, efficient platforms.
Key Responsibilities
Lakehouse Architecture (Apache Iceberg)
- Architect, implement, and maintain the data lakehouse using Apache Iceberg table formats.
- Manage table lifecycle including partitioning, schema evolution, snapshot and metadata management, and compaction.
- Optimize table layout and file sizing for query performance, storage efficiency, and cost.
- Implement data governance, time-travel, and ACID transaction patterns across the lakehouse.
Distributed Query & Compute (Trino & Spark)
- Deploy, tune, and operate Trino clusters for interactive and federated analytics; manage connectors, catalogs, and resource groups.
- Build and optimize large-scale batch and streaming data processing with Apache Spark.
- Troubleshoot query plans, job performance, spills, and shuffle bottlenecks across distributed workloads.
- Balance capacity, concurrency, and cost across query and compute engines.
Data Engineering (Scala & Python)
- Develop scalable data pipelines, frameworks, and services in Scala and Python.
- Build reusable ingestion, transformation, and data-quality libraries for batch and streaming.
- Write clean, well-tested, performant code following software engineering best practices.
- Integrate pipelines with the Iceberg lakehouse and Trino/Spark processing layers.
Cloud & Kubernetes Infrastructure
- Design and operate data platform components on Kubernetes (EKS, AKS, GKE, or self-managed).
- Build and manage containerized workloads, Helm charts, and autoscaling for data services.
- Provision and manage cloud infrastructure (AWS, Azure, or GCP), including object storage and compute.
- Implement infrastructure as code, CI/CD, monitoring, and observability for the platform.
Platform Reliability & Collaboration
- Ensure the reliability, scalability, and security of the data platform across environments.
- Automate deployment, testing, and operational workflows to eliminate toil.
- Partner with data consumers to understand requirements and improve data accessibility.
- Mentor engineers and promote best practices in data and platform engineering.