Required : • 5-8 years of experience in data engineering, data architecture, or a related field ... Domo. • Excellent communication and stakeholder engagement skills, with the ability to explain ...
Required : • 5-8 years of experience in data engineering, data architecture, or a related field ... Domo. • Excellent communication and stakeholder engagement skills, with the ability to explain ...
Operational Support Analyst
Mclean, VA · On-site
Collaborate with internal teams (e.g., Product, Engineering, Customer Success) to resolve client ... Familiarity with Agile workflows and collaborative tools like Confluence, Domo or Qlik. The Media ...
Quick apply
Operational Support Analyst
Mclean, VA · On-site
Collaborate with internal teams (e.g., Product, Engineering, Customer Success) to resolve client ... Familiarity with Agile workflows and collaborative tools like Confluence, Domo or Qlik. The Media ...
FP&A Tooling & Operations Manager
College Park, MD · On-site +1
$111K - $145K/yr
... analytics, engineering, etc.). * 5+ years of relevant experience working for a large public ... Experience building dashboards in Power BI or a similar enterprise BI tool (Tableau, Domo)
FP&A Tooling & Operations Manager
College Park, MD · On-site +1
$111K - $145K/yr
... analytics, engineering, etc.). * 5+ years of relevant experience working for a large public ... Experience building dashboards in Power BI or a similar enterprise BI tool (Tableau, Domo)
Collaborate with internal teams (e.g., Product, Engineering, Customer Success) to resolve client ... Familiarity with Agile workflows and collaborative tools like Confluence, Domo or Qlik. The Media ...
Collaborate with internal teams (e.g., Product, Engineering, Customer Success) to resolve client ... Familiarity with Agile workflows and collaborative tools like Confluence, Domo or Qlik. The Media ...
Operational Support Analyst
Mclean, VA · On-site
Collaborate with internal teams (e.g., Product, Engineering, Customer Success) to resolve client ... Familiarity with Agile workflows and collaborative tools like Confluence, Domo or Qlik. The Media ...
Operational Support Analyst
Mclean, VA · On-site
Collaborate with internal teams (e.g., Product, Engineering, Customer Success) to resolve client ... Familiarity with Agile workflows and collaborative tools like Confluence, Domo or Qlik. The Media ...
Bachelor's degree in Business, Finance, Economics, Engineering, Data Analytics, or a related field ... Familiarity with data visualization tools such as Power BI, Tableau, Looker, or Domo (preferred ...
Bachelor's degree in Business, Finance, Economics, Engineering, Data Analytics, or a related field ... Familiarity with data visualization tools such as Power BI, Tableau, Looker, or Domo (preferred ...
Bachelor's degree in Business, Finance, Economics, Engineering, Data Analytics, or a related field ... Familiarity with data visualization tools such as Power BI, Tableau, Looker, or Domo (preferred ...
Bachelor's degree in Business, Finance, Economics, Engineering, Data Analytics, or a related field ... Familiarity with data visualization tools such as Power BI, Tableau, Looker, or Domo (preferred ...
... Engineering, Data Analytics, or a related field. * 1-2 years of experience in strategy, management ... Familiarity with data visualization tools such as Power BI, Tableau, Looker, or Domo (preferred ...
... Engineering, Data Analytics, or a related field. * 1-2 years of experience in strategy, management ... Familiarity with data visualization tools such as Power BI, Tableau, Looker, or Domo (preferred ...
FP&A Tooling & Operations Manager
College Park, MD · On-site
$111K - $145K/yr
... analytics, engineering, etc.). * 5+ years of relevant experience working for a large public ... Experience building dashboards in Power BI or a similar enterprise BI tool (Tableau, Domo)
FP&A Tooling & Operations Manager
College Park, MD · On-site
$111K - $145K/yr
... analytics, engineering, etc.). * 5+ years of relevant experience working for a large public ... Experience building dashboards in Power BI or a similar enterprise BI tool (Tableau, Domo)
Domo Developer information
What is the difference between Domo Developer vs Data Analyst?
| Aspect | Domo Developer | Data Analyst |
|---|---|---|
| Required Credentials | Experience with Domo platform, certifications often preferred | Statistical or data analysis certifications, such as CAP or Microsoft certifications |
| Work Environment | Focus on building dashboards, data integration, and platform customization | Data interpretation, reporting, and insights generation |
| Employer & Industry Usage | Used in companies leveraging Domo for BI solutions | Used across various industries for data-driven decision making |
While both roles involve working with data, a Domo Developer specializes in creating and managing dashboards within the Domo platform, whereas a Data Analyst focuses on analyzing data and generating insights across different tools and platforms. The Domo Developer's expertise is platform-specific, while Data Analysts often work with multiple data sources and analysis tools.
What is a Domo Developer?
A Domo Developer is a specialist who designs, builds, and maintains data solutions using the Domo business intelligence platform. They create data visualizations, dashboards, and reports to help organizations make data-driven decisions. Their responsibilities include integrating data from various sources, transforming and modeling data, and ensuring data accuracy and security within the Domo environment. Domo Developers often work closely with business stakeholders to understand analytics needs and deliver actionable insights.
What are the key skills and qualifications needed to thrive as a Domo Developer, and why are they important?
A Domo Developer should possess strong data analytics, ETL (Extract, Transform, Load), and dashboard development skills, typically supported by experience with business intelligence platforms and a background in computer science or a related field. Proficiency with Domo’s proprietary tools, SQL, data connectors, and certifications such as Domo Professional or Domo Specialist are often required. Excellent problem-solving, communication, and the ability to translate business needs into technical solutions are standout soft skills. These competencies ensure that data is effectively transformed into actionable insights, supporting informed decision-making across the organization.
What are some common challenges Domo Developers face when integrating data from multiple sources?
Domo Developers often encounter challenges such as data compatibility issues, inconsistent data formats, and managing data refresh schedules when integrating information from various sources. It's important to ensure data accuracy and consistency, which may require creating custom ETL (Extract, Transform, Load) processes or troubleshooting connection errors. Close collaboration with data owners and IT teams is typically necessary to resolve integration problems quickly and maintain reliable dashboards.
What are popular job titles related to Domo Developer jobs in Washington? For Domo Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Domo Developer jobs in Washington look for? The top searched job categories for Domo Developer jobs in Washington are:
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
Job Summary:
CNN is the world’s most essential and engaging source of digital news, currently seeking a Staff Data Architect to evolve and strengthen its modern data ecosystem. This role involves designing and implementing robust data architecture to support analytics and decision-making across the organization, while mentoring engineers and collaborating with platform teams.
Responsibilities:
• Design and implement scalable data architecture patterns on Snowflake to support high‑volume event and analytics workloads, with a strong focus on performance, security, and cost efficiency through query optimization, warehouse sizing, storage management, and governance best practices.
• Lead the technical design and implementation of complex data systems and platform enhancements, establishing and maintaining architecture and data modeling standards that promote consistency, scalability, and reliability across Snowflake and dbt workflows.
• Define and implement secure, scalable data access patterns, leveraging role‑based access control and managed access schemas to ensure data is governed, auditable, and accessible to the right audiences.
• Design and operate data quality and observability frameworks, using dbt tests and monitoring tools to track pipeline health, latency, and freshness, and to continuously improve platform reliability and operational visibility.
• Partner closely with platform engineering and analytics teams to improve system reliability, scalability, and operational efficiency, contributing to platform architecture planning and technical roadmaps.
• Translate complex analytics and business requirements into clean, well‑governed semantic data models that enable trusted self‑service analytics and consistent metrics across BI tools.
• Define and implement data lifecycle and retention strategies that balance performance, cost efficiency, compliance, and data availability across the analytics platform.
• Act as a technical mentor and thought leader, helping grow the skills of engineers and analysts and raising the overall bar for data architecture and engineering practices.
Qualifications:
Required:
• 5–8 years of experience in data engineering, data architecture, or a related field, with demonstrated ownership of production data systems or platform components.
• Deep expertise in cloud data warehousing, with hands‑on experience in Snowflake, including performance tuning, security design, cost optimization, and large‑scale data modeling.
• Strong experience designing and maintaining dbt‑based transformation workflows, including testing, performance optimization, and deployment best practices.
• Experience working with event or clickstream data, ideally using Snowplow or comparable technologies, and a strong understanding of instrumentation and processing challenges at scale.
• Proven ability to design and implement semantic layers and analytics‑ready data models that serve as a trusted source of truth for BI tools such as Looker, Tableau, or Domo.
• Excellent communication and stakeholder engagement skills, with the ability to explain complex technical concepts to non‑technical audiences, influence architectural decisions, and build alignment across teams.
Preferred:
• Experience with Customer Data Platforms (CDPs).
• Experience with data orchestration tools such as Airflow or Dagster.
• Familiarity with data privacy and compliance requirements (e.g., GDPR, CCPA).
• Experience working in the media, publishing, or digital content industry.
Company:
CNN Worldwide is the most honored brand in cable news, reaching more individuals on television and online than any other cable news organization in the United States. Founded in 1980, the company is headquartered in Jakarta, IDN, with a team of 1001-5000 employees. The company is currently Late Stage.
CNN is the world’s most essential and engaging source of digital news, currently seeking a Staff Data Architect to evolve and strengthen its modern data ecosystem. This role involves designing and implementing robust data architecture to support analytics and decision-making across the organization, while mentoring engineers and collaborating with platform teams.
Responsibilities:
• Design and implement scalable data architecture patterns on Snowflake to support high‑volume event and analytics workloads, with a strong focus on performance, security, and cost efficiency through query optimization, warehouse sizing, storage management, and governance best practices.
• Lead the technical design and implementation of complex data systems and platform enhancements, establishing and maintaining architecture and data modeling standards that promote consistency, scalability, and reliability across Snowflake and dbt workflows.
• Define and implement secure, scalable data access patterns, leveraging role‑based access control and managed access schemas to ensure data is governed, auditable, and accessible to the right audiences.
• Design and operate data quality and observability frameworks, using dbt tests and monitoring tools to track pipeline health, latency, and freshness, and to continuously improve platform reliability and operational visibility.
• Partner closely with platform engineering and analytics teams to improve system reliability, scalability, and operational efficiency, contributing to platform architecture planning and technical roadmaps.
• Translate complex analytics and business requirements into clean, well‑governed semantic data models that enable trusted self‑service analytics and consistent metrics across BI tools.
• Define and implement data lifecycle and retention strategies that balance performance, cost efficiency, compliance, and data availability across the analytics platform.
• Act as a technical mentor and thought leader, helping grow the skills of engineers and analysts and raising the overall bar for data architecture and engineering practices.
Qualifications:
Required:
• 5–8 years of experience in data engineering, data architecture, or a related field, with demonstrated ownership of production data systems or platform components.
• Deep expertise in cloud data warehousing, with hands‑on experience in Snowflake, including performance tuning, security design, cost optimization, and large‑scale data modeling.
• Strong experience designing and maintaining dbt‑based transformation workflows, including testing, performance optimization, and deployment best practices.
• Experience working with event or clickstream data, ideally using Snowplow or comparable technologies, and a strong understanding of instrumentation and processing challenges at scale.
• Proven ability to design and implement semantic layers and analytics‑ready data models that serve as a trusted source of truth for BI tools such as Looker, Tableau, or Domo.
• Excellent communication and stakeholder engagement skills, with the ability to explain complex technical concepts to non‑technical audiences, influence architectural decisions, and build alignment across teams.
Preferred:
• Experience with Customer Data Platforms (CDPs).
• Experience with data orchestration tools such as Airflow or Dagster.
• Familiarity with data privacy and compliance requirements (e.g., GDPR, CCPA).
• Experience working in the media, publishing, or digital content industry.
Company:
CNN Worldwide is the most honored brand in cable news, reaching more individuals on television and online than any other cable news organization in the United States. Founded in 1980, the company is headquartered in Jakarta, IDN, with a team of 1001-5000 employees. The company is currently Late Stage.
About CNN
Sourced by ZipRecruiter
Industry
Broadcasting
Company size
1,001 - 5,000 Employees
Headquarters location
Atlanta, GA, US
Year founded
1980