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$84.5K

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How much do striim jobs pay per year?

As of Jun 19, 2026, the average yearly pay for striim in the United States is $97,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Striim data engineers when integrating real-time data streams into existing enterprise systems?

Striim data engineers often encounter challenges such as handling data consistency across distributed systems, managing schema changes in real-time, and ensuring minimal latency during data ingestion and transformation. Integrating Striim with legacy or diverse enterprise systems can also require significant troubleshooting and customization to maintain data quality and compatibility. Successful engineers work closely with cross-functional teams—including database administrators, application developers, and business analysts—to ensure that real-time data flows seamlessly and reliably to support business needs.

What is Striim and what does a Striim professional do?

Striim is a real-time data integration and streaming platform that enables organizations to collect, process, and deliver data from various sources to a wide range of destinations. A Striim professional typically works with businesses to set up and manage data pipelines, ensuring seamless data flow for analytics, migrations, or cloud integration. Their responsibilities may include configuring connectors, monitoring data streams, troubleshooting issues, and optimizing performance for real-time data delivery. They often collaborate with data engineers, architects, and business stakeholders to support real-time decision-making and analytics.

What is the difference between Striim vs Data Engineer?

AspectStriimData Engineer
Primary RoleReal-time data integration and streaming analytics platformDesigning, building, and maintaining data pipelines and warehouses
Required SkillsData streaming, cloud platforms, SQL, Java/ScalaSQL, ETL, programming (Python, Java), database management
Work EnvironmentTech companies, cloud services, data analytics firmsData teams, IT departments, analytics divisions
CertificationsCloud certifications, data streaming toolsData engineering certifications, cloud certifications

While Striim focuses on real-time data streaming and integration, Data Engineers develop and maintain data pipelines for storage and analysis. Both roles require strong SQL skills and familiarity with cloud platforms, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Striim Data Engineer, and why are they important?

To thrive as a Striim Data Engineer, you need a solid background in real-time data integration, stream processing, and experience with databases and SQL, typically supported by a degree in computer science or a related field. Proficiency with the Striim platform, knowledge of cloud environments (such as AWS or Azure), and experience with ETL tools or certifications in data engineering are highly valued. Strong problem-solving, communication, and collaboration skills help you work effectively with cross-functional teams and troubleshoot complex data flows. These abilities are crucial for ensuring seamless, reliable real-time data movement and analytics in dynamic enterprise environments.
More about Striim jobs
What states have the most Striim jobs? States with the most job openings for Striim jobs include:
What job categories do people searching Striim jobs look for? The top searched job categories for Striim jobs are:
Striim jobs near you
Infographic showing various Striim job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, and 15% Remote job distribution, with an average salary of $97,500 per year, or $46.9 per hour.
GCP Cloud Analytics Engineer - Sr Consultant

GCP Cloud Analytics Engineer - Sr Consultant

Deloitte

Charlotte, NC • On-site

$57.25 - $78/hr

Other

Posted 18 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

SR Consultant - GCP Cloud Analytics 

Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Sr Consultant, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Sr Consultant, GCP Cloud Analytics on the AI & Data team, you will be responsible for:

  • Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services
  • Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement
  • Developing and optimizing cloud-based data solutions using structured and unstructured data sources
  • Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency
  • Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required:

  • 5+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools
  • 1+ full lifecycle implementation using a Google Cloud Platform toolset
  • 2+ years of experience with SQL and Python
  • 1+ years of experience leading workstreams within technology engagements with resources in multiple locations
  • Bachelor's degree or equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Snowflake and Databricks
  • Experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, and Kubernetes
  • Experience with Spark, Java, Apache Kafka, and Striim
  • Experience with other cloud platforms, including Microsoft Azure and Amazon Web Services
  • Google Cloud Platform certifications
  • Advanced degree in a technical or analytical field

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Qualifications:

SR Consultant - GCP Cloud Analytics 

Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Sr Consultant, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Sr Consultant, GCP Cloud Analytics on the AI & Data team, you will be responsible for:

  • Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services
  • Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement
  • Developing and optimizing cloud-based data solutions using structured and unstructured data sources
  • Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency
  • Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required:

  • 5+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools
  • 1+ full lifecycle implementation using a Google Cloud Platform toolset
  • 2+ years of experience with SQL and Python
  • 1+ years of experience leading workstreams within technology engagements with resources in multiple locations
  • Bachelor's degree or equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Snowflake and Databricks
  • Experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, and Kubernetes
  • Experience with Spark, Java, Apache Kafka, and Striim
  • Experience with other cloud platforms, including Microsoft Azure and Amazon Web Services
  • Google Cloud Platform certifications
  • Advanced degree in a technical or analytical field

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Education:Bachelor's DegreeEmployment Type:

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