1

Data Platform Architect Jobs (NOW HIRING)

Data Platform Architect

$100K - $150K/yr

Data Platform Architect Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary: $100K - $150K ...

Data Platform Architect

$65.25 - $84/hr

Data Platform Architect Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 8+ years ...

Data Platform Architect

$65.25 - $84/hr

Data Platform Architect Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 8+ years ...

Data Platform Architect

$65.25 - $84/hr

Data Platform Architect Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 8+ years ...

Data Platform Architect

$65.25 - $84/hr

Data Platform Architect Salary Range: 100k$/Annum-150k$/Annum Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party ...

NJ · On-site

$100K - $150K/yr

Data Platform Architect Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary: $100K - $150K ...

Data Platform Architect

San Francisco, CA · On-site

$75 - $96.50/hr

The Data Platform Architect will define the technical architecture for the data and AI platform, ensuring it meets security and scalability requirements while collaborating with various teams to ...

Data Platform Architect

San Francisco, CA · On-site

$75 - $96.50/hr

Data And Ai Platform Architect LendingClub (soon to be Happen Bank) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress.

Data Platform Architect

San Francisco, CA · On-site

$75 - $96.50/hr

About the Role This role defines the technical architecture our data and AI platform - the shared infrastructure that powers origination, marketing, credit decisioning, analytics, and AI capabilities ...

Data Platform Architect

San Francisco, CA · On-site

$75 - $96.50/hr

About the Role This role defines the technical architecture our data and AI platform - the shared infrastructure that powers origination, marketing, credit decisioning, analytics, and AI capabilities ...

Data Platform Architect

Florissant, MO · On-site

$58.75 - $75.75/hr

Data Platform Architect (onsite, Florissant, MO) Schedule: Full Time Reporting to: Architecture Lead Position Summary The Augustine Institute seeks a Data Platform Architect to lead the design and ...

next page

Showing results 1-20

Data Platform Architect information

See salary details

$10

$69

$94

How much do data platform architect jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for data platform architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

How much money do data architects make?

Data architects typically earn a median annual salary between $100,000 and $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can earn higher compensation, often exceeding $160,000 annually.

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

To thrive as a Data Platform Architect, you need deep expertise in data modeling, database design, cloud platforms, and related technologies, typically supported by a degree in computer science or a related field. Familiarity with tools like Azure, AWS, Google Cloud, ETL systems, and certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Data Engineer are highly valued. Strong problem-solving, project management, and communication skills help you collaborate effectively with engineers and stakeholders. These competencies are vital for designing scalable, secure, and efficient data architectures that meet organizational needs.

What is a Data Platform Architect?

A Data Platform Architect is a professional responsible for designing and overseeing the development of a robust data infrastructure within an organization. They create scalable architectures that support data collection, storage, integration, and analysis, ensuring that data flows securely and efficiently across systems. This role requires expertise in cloud services, databases, data modeling, and data governance to help businesses make informed decisions based on reliable data. Data Platform Architects often collaborate with data engineers, analysts, and business leaders to deliver solutions that support analytics, reporting, and digital transformation initiatives.

What are some common challenges Data Platform Architects face when designing scalable data solutions?

Data Platform Architects often encounter challenges such as ensuring system scalability to handle rapidly growing data volumes, integrating disparate data sources, and maintaining data quality and security across platforms. Balancing the need for real-time data access with cost-effective storage and compute resources can also be demanding. Collaboration with data engineers, analysts, and business stakeholders is crucial to align technical solutions with organizational goals and to ensure the platform supports evolving business needs.

What does a data platform architect do?

A data platform architect designs and oversees the infrastructure that supports data collection, storage, processing, and analysis within an organization. They evaluate and implement tools like cloud services, data warehouses, and ETL processes, ensuring data systems are scalable, secure, and efficient. Strong knowledge of database technologies, data modeling, and programming languages such as SQL or Python is essential for this role.

What is the difference between Data Platform Architect vs Data Engineer?

AspectData Platform ArchitectData Engineer
CredentialsTypically requires a bachelor’s degree in computer science, data management, or related fields; certifications like AWS Certified Data Analytics or Google Cloud Professional Data Engineer are common.Requires similar degrees and certifications, often including cloud platform certifications and programming skills.
Work EnvironmentFocuses on designing and overseeing data infrastructure, working closely with architects, stakeholders, and development teams.Builds, maintains, and optimizes data pipelines and databases, often working directly with data warehouses and ETL processes.
Industry UsageUsed across industries to develop scalable data platforms and strategies.Commonly employed in data integration, processing, and pipeline development roles.

While both roles require strong technical skills and knowledge of data systems, the Data Platform Architect primarily designs the overall data infrastructure, whereas the Data Engineer focuses on building and maintaining data pipelines. They often collaborate closely to ensure a robust data environment.

How much do platform architects make?

Platform architects typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles with specialized skills in cloud platforms, data management, and architecture design can command higher salaries, often exceeding $180,000.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation.
More about Data Platform Architect jobs
What states have the most Data Platform Architect jobs? States with the most job openings for Data Platform Architect jobs include:
Infographic showing various Data Platform Architect job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Data Platform Architect

Bright Vision Technologies

Norcross, GA • On-site

$100K - $150K/yr

Other

Posted 3 days ago


Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we're looking for a skilled Data Platform Architect to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Data Platform Architect
Job Title: Data Platform Architect
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 8+ years
Salary Range : $100k to $150k per annnum
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies' in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies - there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking a Data Platform Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity.
Key Responsibilities

  • Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers.
  • Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization.
  • Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi.
  • Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads.
  • Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub.
  • Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns.
  • Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs.
  • Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers.
  • Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams.
  • Drive cost optimization and capacity planning across the data platform estate.
  • Design disaster recovery, multi-region, and high-availability strategies for critical data assets.
  • Mentor data engineers and architects on platform standards and emerging best practices.
  • Produce architecture artifacts including context diagrams, decision records, and reference patterns.
  • Stay current with data platform research, vendor offerings, and open-source ecosystem developments.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • Eight or more years of experience in data engineering, with significant time in architecture roles.
  • Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
  • Strong understanding of lakehouse architectures, modern table formats, and streaming systems.
  • Hands-on experience with Spark, Flink, or Kafka at production scale.
  • Strong data modeling expertise across dimensional, normalized, and data-vault patterns.
  • Experience implementing governance, lineage, and catalog capabilities.
  • Solid grasp of cloud platforms, networking, identity, and cost optimization.
  • Excellent communication, facilitation, and stakeholder management skills.
  • Track record of leading large data platform initiatives across teams.
Preferred Qualifications
  • Experience with data mesh or data product architectures.
  • Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML.
  • Exposure to regulated industries with strict data residency or audit requirements.
  • Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP).
  • Public talks or writing on data architecture.

How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by "No Fee Agency."
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.