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Datameer Jobs in Texas (NOW HIRING)

Lead Engineer -DevOps

Dallas, TX · On-site

$103K - $147K/yr

Design, implement, and manage cloud infrastructure and platform services across AWS, Datameer, Tableau, MicroStrategy, Snowflake, Airflow etc. * Build and maintain CI/CD pipelines for data and ...

Bigdata architect

Austin, TX · On-site

$63.25 - $81.25/hr

Skill Hive, Sqoop, Impala, Datameer and Platfora, UNIX, Agile, Waterfall, ETL, Application Development Location Austin, TX Total Experience 8 yrs. Max Salary Not Mentioned Employment Type Direct Jobs ...

Design, implement, and manage cloud infrastructure and platform services across AWS, Datameer, Tableau, MicroStrategy, Snowflake, Airflow etc. * Build and maintain CI/CD pipelines for data and ...

Lead Engineer -DevOps

Dallas, TX · On-site

$101K - $134K/yr

Design, implement, and manage cloud infrastructure and platform services across AWS, Datameer, Tableau, MicroStrategy, Snowflake, Airflow etc. * Build and maintain CI/CD pipelines for data and ...

POC's and development will involve Cognos, Tableau, Platfora, Qlikview and Datameer tools Associate will be in a position to design Big data solutions for business needs and so should have a very ...

Hadoop testing Jobs, Bigdata Testing Jobs, Cloud Testing jobs Qualifications Desired skills Exposure to various BIG Data/BI tools such as TABLEAU, CLOUD (AWS, AZURE), DATAMEER, ETL/ELT, Schema On ...

Datameer information

What is Datameer?

Datameer is a data analytics and business intelligence platform designed to help organizations explore, prepare, and analyze large datasets, often within cloud environments like Snowflake. A Datameer professional typically works on building data pipelines, preparing data for analysis, and creating visualizations or dashboards to enable data-driven decision-making. They collaborate with data engineers, analysts, and business stakeholders to ensure data quality and accessibility. Their role may also include optimizing data workflows, integrating disparate data sources, and ensuring compliance with data governance policies.

What are the key skills and qualifications needed to thrive as a Datameer data analyst?

To thrive as a Datameer Data Analyst, you need a strong background in data analytics, SQL, and data visualization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with Datameer’s data preparation platform, as well as experience with big data tools like Hadoop and cloud platforms, is highly valuable. Analytical thinking, attention to detail, and effective communication skills help you interpret data insights and collaborate with stakeholders. These skills are crucial for ensuring accurate data-driven decisions and optimizing business processes using Datameer’s solutions.

How does a Datameer specialist typically collaborate with data engineers and business analysts within a project team?

As a Datameer specialist, you often serve as a bridge between data engineers and business analysts. You'll work closely with data engineers to ensure that data pipelines are correctly set up and optimized for use in Datameer. At the same time, you'll collaborate with business analysts to understand their reporting needs and help translate those requirements into actionable dashboards and insights. Effective communication and an understanding of both technical and business perspectives are key to succeeding in this collaborative environment.

What is the difference between Datameer vs Data Analyst?

AspectDatameerData Analyst
Required CredentialsTypically requires data management, analytics, and sometimes data engineering skills; certifications in data tools are commonOften requires a degree in statistics, mathematics, or related fields; certifications in data analysis tools are beneficial
Work EnvironmentPrimarily uses data integration and analytics platforms; works with big data tools and cloud environmentsWorks with spreadsheets, BI tools, and statistical software; may analyze data from various sources
Employer & Industry UsageUsed by data-driven organizations for big data processing and analyticsEmployed across industries for business insights, reporting, and decision-making

While Datameer focuses on big data integration and analytics platform usage, Data Analysts primarily interpret data using statistical tools and reporting software. Both roles require analytical skills but differ in technical focus and tools used.

What are popular job titles related to Datameer jobs in Texas?

For Datameer jobs in Texas, the most frequently searched job titles are:

Infographic showing various Datameer job openings in Texas as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 87% Physical, and 13% Remote job distribution.

Lead Engineer -DevOps

Dallas, TX • On-site

$103K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Key responsibilities

  • Design, implement, and manage cloud infrastructure and platform services across AWS and other data and analytics platforms.

  • Build and maintain CI/CD pipelines for data and analytics applications to ensure reliable and automated deployments.

  • Collaborate with cross-functional teams to enable efficient data workflows and platform usage.


Catalyst Brands rating

7.0

Company rating: 7.0 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

Overview
Lead Engineer - DevOps
Location : Dallas, NYC, NJ
Role Type : Hybrid Role
Role Overview
We are looking for a Lead DevOps Engineer to drive the design, automation, and reliability of our modern data and analytics platform at Catalyst Brands. This role will focus on building and managing scalable, secure, and high-performing infrastructure across a growing and evolving ecosystem of data and analytics technologies.
While current platforms include MicroStrategy, Snowflake, AWS, Airflow, and Tableau, this role requires a proactive, adaptable engineer who can continuously learn, evaluate, and integrate new tools as business needs evolve.
You will work at the intersection of platform engineering and data operations, enabling seamless deployment, monitoring, and governance of data and analytics solutions. This role combines hands-on platform engineering expertise with platform ownership and cross-functional collaboration, partnering with data engineering, analytics, and business teams to deliver resilient and efficient systems.
Responsibilities
  • Design, implement, and manage cloud infrastructure and platform services across AWS, Datameer, Tableau, MicroStrategy, Snowflake, Airflow etc.
  • Build and maintain CI/CD pipelines for data and analytics applications, ensuring reliable and automated deployments.
  • Manage infrastructure as code (IaC) using tools such as Terraform or CloudFormation.
  • Ensure platform reliability through monitoring, alerting, logging, and incident response practices.
  • Optimize performance, scalability, and cost across cloud environments and analytics platforms.
  • Implement security best practices, including identity management, data protection, and compliance controls.
  • Collaborate with data engineering, analytics and cross-functional teams to enable efficient data workflows and platform usage.
  • Automate operational processes to improve efficiency and reduce manual intervention.
  • Support environment provisioning, configuration management, and release management processes.
  • Continuously evaluate, adopt, and integrate new platforms and tools as the data ecosystem evolves.
  • Lead platform standardization while remaining adaptable to emerging technologies and changing business needs.
  • Drive continuous improvement by identifying opportunities to modernize or replace existing tooling.
  • Contribute to platform governance, including access controls, auditability, and operational standards.
    Provide technical leadership, set platform standards, and mentor engineers contributing to the analytics platform.
  • Participate in on-call rotations and lead incident response for platform-related outages.

Qualifications
  • Bachelor's degree in computer science, engineering, or related field with 5+ years of platform or platform engineering experience.

  • Strong experience with Snowflake, MicroStrategy and Tableau platform administrative management & support.

  • Strong experience with AWS services such as EC2, S3, Lambda, RDS, CloudWatch, IAM, and VPC.

  • Hands-on experience with CI/CD tools such as GitLab CI, Jenkins, or similar.

  • Experience with infrastructure as code (Terraform, CloudFormation).

  • Experience managing and supporting analytics platforms such as Airflow, Datameer and Tableau.

  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.

  • Experience with scripting languages such as PySpark, Python, Bash, or similar.

  • Familiarity with monitoring and observability tools (CloudWatch, Prometheus, Grafana, etc.).

  • Understanding of networking, security, and cloud architecture principles.

  • Strong troubleshooting and problem-solving skills.

  • Excellent communication skills with the ability to work cross-functionally.

  • Demonstrated ability to quickly learn and adopt new technologies in a changing environment

  • Experience working in evolving platform ecosystems where tools and priorities shift over time

Preferred Qualifications:
  • Experience with data platform ecosystems and integration with data warehouses like Snowflake or Redshift.

  • Experience evaluating and introducing new tools or platforms into production environments

  • Familiarity with data pipeline orchestration tools such as Apache Airflow.

  • Experience implementing Platform practices for BI and analytics tools, especially MicroStrategy and Tableau.

  • Knowledge of Datameer platform administration, optimization, and troubleshooting.

  • Experience with secrets management tools (AWS Secrets Manager, HashiCorp Vault).

  • Experience implementing security and compliance frameworks in cloud environments.

  • Familiarity with cost optimization strategies for cloud infrastructure.

  • Experience working in retail, e-commerce, or consumer-facing environments.

  • Exposure to AI/ML platform deployment and MLOps practices.

What you Get:
Enjoy a rewarding career at Catalyst, where we offer a competitive benefits package, a vibrant work environment, and the opportunity to make a difference with America's most iconic retail brands.
• Generous benefits: Medical/dental/vision insurance starting on day one, term life insurance, paid vacation/holidays, 401(k) Savings Plan with company match, and an associate discount on merchandise across all Catalyst Brands.
• Opportunities for growth and development: We are committed to helping our employees grow their careers and develop their skills. We offer a variety of training and development programs, as well as opportunities for advancement.
• Collaborative and supportive culture: We believe in creating a workplace where everyone feels valued and respected. We encourage teamwork and collaboration, and we are always looking for ways to support our employees' success.
About Catalyst:
Catalyst Brands reflects the bringing together the rich heritages of our brands with modern excitement and a new vision for success. Five iconic brands came together under a unified powerhouse portfolio to celebrate the essence of American style. We will leverage our rich history, resources and best-in-class industry talent to further build the success of our brands. At Catalyst we are united in one shared purpose: We exist to ignite America's most beloved retail brands to make fashion accessible to all.
For more opportunities to join our team please visit our careers page.
Pay Range
USD $103,500.00 - USD $147,750.00 /Yr.

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