ZipRecruiter

Log In

1

Senior Gcp Data Engineer Jobs in Spring, TX (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Houston, TX

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake ...

Pwc

Data Engineer - Senior Manager

Houston, TX · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake ...

Pwc

Data Engineer - Manager

Houston, TX · On-site

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

This is a senior, hands-on engineering role responsible for designing, developing, and optimizing ... or GCP Experience with distributed data processing technologies such as Spark or Databricks ...

Deloitte

Sr Databricks Data Engineer

Houston, TX

$109K - $131K/yr

Master's degree in Computer Science, Engineering, or a related field Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services Experience tuning and ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks ... Experience with cloud platforms such as AWS, Azure, or GCP. * Strong knowledge of Data Warehousing ...

Pwc

GenAI Python Systems Engineer-Manager

Houston, TX · On-site

$99K - $232K/yr

... GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python ...

Medinext Global LLC

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Senior Data Engineer Location: Houston, TX (Onsite/Hybrid - Based on Client Requirements) Employment Type: Full-Time We are hiring a Senior Data Engineer with deep expertise in Snowflake, AWS, Data ...

Paul Hastings

Senior Data Engineer

Houston, TX

$194K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Bespoke Labs

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

The Woodlands, TX · On-site

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

next page

Showing results 1-20

All JobsGcp Data Engineer JobsSenior Gcp Data Engineer JobsSenior Gcp Data Engineer Jobs in Spring, TX

Senior Gcp Data Engineer information

See Spring, TX salary details

$72.1K

$112.4K

$155.7K

How much do senior gcp data engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for senior gcp data engineer in Spring, TX is $112,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $128,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior GCP Data Engineers with extensive experience, specialized skills in cloud architecture, and certifications such as Google Cloud Professional Data Engineer can earn salaries approaching or exceeding $500,000 annually, especially in high-demand markets or with additional responsibilities like team leadership or consulting. Compensation varies based on location, company size, and individual expertise.

What are Senior GCP Data Engineers?

Senior GCP Data Engineers are experienced professionals who design, build, and manage data processing systems on Google Cloud Platform (GCP). They are responsible for developing scalable data pipelines, ensuring data quality, and enabling analytics and machine learning solutions. Their work often involves using tools like BigQuery, Dataflow, and Dataproc, as well as programming languages such as Python or SQL. Senior GCP Data Engineers also mentor junior team members and contribute to architectural decisions to ensure best practices in cloud data engineering.

Is GCP Data Engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Skills in cloud services, data pipelines, and tools like BigQuery and Dataflow are highly sought after by organizations seeking scalable data solutions.

What are some common challenges faced by Senior GCP Data Engineers when migrating legacy data systems to Google Cloud Platform?

Senior GCP Data Engineers often encounter challenges such as ensuring data integrity during large-scale migrations, optimizing performance for cloud-native architectures, and adapting legacy ETL processes to leverage GCP services like BigQuery and Dataflow. Collaborating with cross-functional teams to map business requirements to cloud solutions is also key. Additionally, they must address security and compliance concerns, ensuring data is protected throughout the migration process.

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

To thrive as a Senior GCP Data Engineer, you need deep expertise in data engineering concepts, SQL, programming languages like Python or Java, and a strong understanding of Google Cloud Platform (GCP) services, usually supported by a bachelor’s degree in computer science or a related field. Familiarity with tools such as BigQuery, Dataflow, Cloud Composer, and relevant GCP certifications like Professional Data Engineer is highly valued. Strong problem-solving, communication, and project management skills set top performers apart, enabling effective collaboration and leadership in complex data projects. These capabilities are crucial for designing scalable data solutions, ensuring data reliability, and driving data-driven decision-making within organizations.

Can I make 200K as a Data Engineer?

Senior GCP Data Engineers with extensive experience, specialized skills in cloud platforms, and certifications such as Google Cloud Professional Data Engineer can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or with senior-level responsibilities. Compensation varies based on location, company size, and individual expertise, but reaching this level is achievable with advanced skills in data pipelines, SQL, and cloud architecture.

What is the salary of senior GCP Data Engineer?

The salary of a Senior GCP Data Engineer typically ranges from $110,000 to $160,000 annually, depending on experience, location, and company size. Certifications in Google Cloud Platform and expertise in data pipelines and BigQuery can influence compensation levels.

What is the difference between Senior Gcp Data Engineer vs Data Scientist?

AspectSenior Gcp Data EngineerData Scientist
Required CredentialsCloud certifications (GCP), SQL, Python, data engineering skillsStatistics, machine learning, programming (Python/R), advanced degrees often preferred
Work EnvironmentData pipelines, cloud infrastructure, ETL processesData analysis, modeling, research, visualization
Industry UsageData infrastructure, big data projects, cloud-based data solutionsPredictive modeling, insights, data-driven decision making

The main difference is that Senior Gcp Data Engineers focus on building and maintaining data pipelines and infrastructure on GCP, while Data Scientists analyze data to generate insights and models. Both roles require strong technical skills, but their core responsibilities differ significantly.

What are popular job titles related to Senior Gcp Data Engineer jobs in Spring, TX? For Senior Gcp Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Senior Gcp Data Engineer jobs in Spring, TX look for? The top searched job categories for Senior Gcp Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Gcp Data Engineer jobs? Cities near Spring, TX with the most Senior Gcp Data Engineer job openings:
Senior Gcp Data Engineer jobs near you

Senior GCP Solution Architect

Siritech Solutions Corp

Houston, TX

Full-time

Posted 14 days ago

Job description


Senior GCP Solution Architect (Google Cloud Data Platform)

Total Required Experience in Years: 12+ Years

Mode of Work: Onsite (Houston, Texas)

Job Description:

Seeking an experienced Senior GCP Solution Architect to lead the design, architecture, and implementation of enterprise-scale cloud data platforms on Google Cloud Platform (GCP). The ideal candidate will possess extensive experience designing scalable, secure, and high-performance cloud data solutions while collaborating with business stakeholders, development teams, DevOps engineers, and security teams.

The Solution Architect will be responsible for defining cloud architecture, designing modern data platforms, optimizing cloud infrastructure, implementing security best practices, driving enterprise data modernization initiatives, and providing technical leadership throughout the project lifecycle.

Key Responsibilities:

  • Design and architect enterprise-scale data platforms on Google Cloud Platform (GCP).

  • Develop scalable and high-performance cloud-native data solutions.

  • Design data pipelines using BigQuery, Dataflow, Datastream, Pub/Sub, Cloud Functions, and Cloud Run.

  • Define enterprise cloud architecture standards and best practices.

  • Collaborate with development, security, DevOps, and infrastructure teams.

  • Design secure cloud architectures following enterprise security and compliance standards.

  • Develop cloud cost optimization and resource utilization strategies.

  • Support enterprise data migration and modernization initiatives.

  • Provide technical leadership throughout solution design and implementation.

  • Review solution architecture and recommend performance improvements.

  • Conduct architecture reviews and technical design sessions.

  • Present architectural solutions to executive leadership and client stakeholders.

  • Develop architecture documentation, diagrams, standards, and best practices.

  • Ensure cloud environments meet scalability, availability, reliability, and performance objectives.

Required Skills:

  • Google Cloud Platform (GCP)

  • Solution Architecture

  • Data Architecture

  • BigQuery

  • Dataflow

  • Datastream

  • Cloud Functions

  • Cloud Run

  • Pub/Sub

  • Python

  • Apache Spark

  • Cloud Security

  • Data Governance

  • Cloud Infrastructure

  • Cloud Cost Optimization

  • Performance Optimization

  • Data Processing

  • Enterprise Data Platforms

  • Data Migration

  • DevOps Collaboration

  • Architecture Documentation

  • Technical Leadership

  • Client Engagement

  • Stakeholder Management

Preferred Skills:

  • Google Cloud Professional Cloud Architect

  • Google Cloud Professional Data Engineer

  • Azure

  • Hybrid Cloud

  • Multi-Cloud Architecture

  • Kubernetes

  • Docker

  • CI/CD

  • Terraform

  • Data Lake Architecture

  • Enterprise Data Warehousing

  • AI/ML Platforms

Required Qualifications:

  • Minimum 12+ years of experience in Solution Architecture or Data Architecture.

  • Extensive hands-on experience designing enterprise data platforms on Google Cloud Platform (GCP).

  • Strong expertise with BigQuery, Dataflow, Datastream, Pub/Sub, Cloud Functions, and Cloud Run.

  • Experience implementing scalable, secure, and high-performance cloud solutions.

  • Strong knowledge of cloud security, compliance, and governance.

  • Experience developing cloud cost optimization and resource management strategies.

  • Strong programming experience using Python and Apache Spark.

  • Experience collaborating with development, DevOps, security, and infrastructure teams.

  • Excellent client-facing communication, presentation, and stakeholder management skills.

Preferred Qualifications:

  • Google Cloud Professional Cloud Architect Certification.

  • Google Cloud Professional Data Engineer Certification.

  • Experience with hybrid and multi-cloud environments.

  • Experience with Microsoft Azure.

  • Experience leading enterprise cloud transformation and data modernization initiatives.

  • Experience designing enterprise-scale cloud data architectures.

Deliverables:

  • Solution Architecture Documents

  • Enterprise Cloud Architecture

  • Data Platform Design

  • Cloud Migration Strategy

  • Security Architecture

  • Cloud Cost Optimization Plans

  • Technical Design Documents

  • Architecture Diagrams

  • Data Pipeline Architecture

  • Performance Optimization Recommendations

  • Technical Standards Documentation

  • Knowledge Transfer Documentation

Education:

  • Bachelor\'s Degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent work experience).