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Day 108
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GCP Data Architect
- Pay
- Pay not listed
- Work setting
Remote — work setting source
This is a remote position. Scope:
Read the full posting- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll work on
Full postingLead architecture decisions for GCP data platforms
Define standards for batch and real-time processing, including streaming
Define and enforce data governance, quality, lineage, and metadata frameworks
Architect data integration frameworks across internal systems, APIs, and SaaS
Mentor engineering teams on data architecture, modeling, and integration design
From the employer’s posting
Lead architecture decisions for GCP data platforms.
Define standards for batch and real-time data processing, including event-driven architectures and streaming platforms (e.g., Kafka, Pub/Sub).
Define and enforce data governance frameworks, including data quality, stewardship, lineage, and metadata management.
Architect robust data integration frameworks across internal systems, APIs, SaaS platforms, and cloud services.
Mentor engineering teams on best practices in data architecture, modeling, and integration design.
What you’ll bring
All qualificationsCore experience
- 8–12+ years of experience in data engineering, data architecture, or enterprise data platform roles.
- Experience with streaming and event-driven architectures (Kafka, Pub/Sub, Kinesis).
- Strong experience designing enterprise data architectures, data models, and integration frameworks.
- Hands-on knowledge of modern data platforms (Snowflake, BigQuery, Redshift, Databricks).
- Deep knowledge of GCP cloud data platforms ( GCP) and services such as Google Cloud Dataflow.
- Experience implementing Data Lake, Lakehouse, or Data Mesh architectures.
Qualification wording
8–12+ years of experience in data engineering, data architecture, or enterprise data platform roles.
Experience with streaming and event-driven architectures (Kafka, Pub/Sub, Kinesis).
Strong experience designing enterprise data architectures, data models, and integration frameworks.
Hands-on knowledge of modern data platforms (Snowflake, BigQuery, Redshift, Databricks).
Deep knowledge of GCP cloud data platforms ( GCP) and services such as Google Cloud Dataflow.
Experience implementing Data Lake, Lakehouse, or Data Mesh architectures.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 108 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 19, 2026108 days ago
- Recorded sightings
- 52
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Kanini Software Solutions is hiring
4 open jobs
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Databricks
- GCP
- Kafka
- Redshift
- Snowflake
Where the posting names them
- Deep knowledge of GCP cloud data platforms ( GCP) and services such as Google Cloud Dataflow. - Proficient in SQL, Python, and scripting for data manipulation and automation - Experience with ETL/ELT tools (Informatica, Talend, SSIS, etc.) from an architectural/design perspective.
- Experience with streaming and event-driven architectures (Kafka, Pub/Sub, Kinesis). - Hands-on knowledge of modern data platforms (Snowflake, BigQuery, Redshift, Databricks). - Experience implementing Data Lake, Lakehouse, or Data Mesh architectures.
- Strong experience designing enterprise data architectures, data models, and integration frameworks. - Deep knowledge of GCP cloud data platforms ( GCP) and services such as Google Cloud Dataflow. - Proficient in SQL, Python, and scripting for data manipulation and automation
- Architect robust data integration frameworks across internal systems, APIs, SaaS platforms, and cloud services. - Define standards for batch and real-time data processing, including event-driven architectures and streaming platforms (e.g., Kafka, Pub/Sub). - Guide the design of ETL/ELT pipelines, ensuring scalability, reusability, and performance (execution may be handled by engineering teams).
Preferred - Experience with streaming and event-driven architectures (Kafka, Pub/Sub, Kinesis). - Hands-on knowledge of modern data platforms (Snowflake, BigQuery, Redshift, Databricks).
Your next step
Complete your application on kanini.zohorecruit.in. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
This is a remote position.
Scope:
We are seeking a strategic and technically strong Data Architect to define, design, and govern enterprise data architecture and integration frameworks. This role is responsible for establishing scalable, secure, and high-performing data ecosystems that enable advanced analytics, business intelligence, and operational excellence.
The ideal candidate will bring deep expertise in data modeling, architecture patterns, integration strategies, and data governance, along with the ability to translate business needs into cohesive data solutions across complex, hybrid environments.
Key Responsibilities
- Lead architecture decisions for GCP data platforms.
- Ensure scalability, security, and performance across data platforms and pipelines.
- Define standards for DevOps/DataOps practices, including CI/CD, monitoring, and cost optimization.
- Drive adoption of modern data architecture patterns (Data Mesh, Lakehouse, etc.).
- Architect robust data integration frameworks across internal systems, APIs, SaaS platforms, and cloud services.
- Define standards for batch and real-time data processing, including event-driven architectures and streaming platforms (e.g., Kafka, Pub/Sub).
- Guide the design of ETL/ELT pipelines, ensuring scalability, reusability, and performance (execution may be handled by engineering teams).
- Define and enforce data governance frameworks, including data quality, stewardship, lineage, and metadata management.
- Establish enterprise standards for data validation, consistency, and observability.
- Partner with stakeholders to implement data catalogs, lineage tracking, and master data management (MDM) strategies.
- Ensure compliance with data privacy and regulatory requirements (e.g., HIPAA, GDPR).
- Collaborate with data engineers, data scientists, business leaders, and application teams to align architecture with business goals.
- Provide architectural guidance and oversight for data-related initiatives and projects.
- Mentor engineering teams on best practices in data architecture, modeling, and integration design.
- Act as a key advisor on data strategy and decision-making across the organization.
QUALIFICATIONS
Required
- 8–12+ years of experience in data engineering, data architecture, or enterprise data platform roles.
- Strong experience designing enterprise data architectures, data models, and integration frameworks.
- Deep knowledge of GCP cloud data platforms ( GCP) and services such as Google Cloud Dataflow.
- Proficient in SQL, Python, and scripting for data manipulation and automation
- Experience with ETL/ELT tools (Informatica, Talend, SSIS, etc.) from an architectural/design perspective.
- Strong understanding of APIs, microservices, and distributed systems.
Preferred
- Experience with streaming and event-driven architectures (Kafka, Pub/Sub, Kinesis).
- Hands-on knowledge of modern data platforms (Snowflake, BigQuery, Redshift, Databricks).
- Experience implementing Data Lake, Lakehouse, or Data Mesh architectures.
- Familiarity with data governance tools, data catalogs, and metadata management solutions.
- Industry experience in healthcare, fintech, or e-commerce environments.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Location not supplied.
This is a remote position. Scope:
More source context
We are seeking a strategic and technically strong Data Architect to define, design, and govern enterprise data architecture and integration frameworks. This role is responsible for establishing scalable, secure, and high-performing data ecosystems that enable advanced analytics, business intelligence, and operational excellence. The ideal candidate will bring deep expertise in data modeling, architecture patterns, integration strategies, and data governance, along with the ability to translate business needs into cohesive data solutions across complex, hybrid environments. Key Responsibilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.