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Aws Data Architect Jobs (NOW HIRING)

Data Architect

Plano, TX · On-site

$61 - $78.50/hr

AWS, Data Integration, API This is part of the Data Strategy Team * They are doing a lot of data movement architecture (very critical - How do we get the data (API? Data bus? Etc) * This person will ...

Data Architect

O Fallon, MO · On-site

$59.75 - $76.75/hr

Data Architect Location: O'Fallon, MO 63368 ( Any PSL Location with flexibility to travel to client ... Hands-on experience with AWS data services: Glue, Redshift, Lake Formation, S3, Athena, EMR.

Data Architect

Plano, TX · On-site

$60 - $65/hr

AWS, Data Integration, API This is part of the Data Strategy Team * They are doing a lot of data movement architecture (very critical - How do we get the data (API? Data bus? Etc) * This person will ...

Data Architect

Boston, MA · On-site

$69.50 - $89.25/hr

We are seeking an experienced Cloud Native AWS Data Architect to lead the design and implementation of modern data platforms and analytics solutions for the insurance industry. The ideal candidate ...

Data Architect

Atlanta, GA · On-site

$62.50 - $80.50/hr

The Data Architect will set standards, define direction, and architect scalable solutions--particularly around AWS, Databricks, AI, multi-tenant databases, data lakes, and real-time data streaming.

Data Architect

Atlanta, GA · On-site

$62.50 - $80.50/hr

The Data Architect will set standards, define direction, and architect scalable solutions-particularly around AWS, Databricks, AI, multi-tenant databases, data lakes, and real-time data streaming.

Cloud Data Architect

Jersey City, NJ · On-site

$66.50 - $85.50/hr

Lead the transition toward a hybrid data architecture based on AWS S3, Apache Iceberg, Polaris, and Trino (or similar query engine) - while maintaining and optimizing our existing Snowflake ...

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Aws Data Architect information

See salary details

$10

$69

$94

How much do aws data architect jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for aws data 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.

What are the key skills and qualifications needed to thrive in the Aws Data Architect position, and why are they important?

To thrive as an AWS Data Architect, you need expertise in cloud data architecture, data modeling, ETL processes, and a solid background in computer science or a related field. Familiarity with AWS data services (such as Redshift, S3, Glue, and Athena), proficiency in SQL or Python, and certifications like AWS Certified Data Analytics – Specialty are highly valuable. Strong problem-solving, communication, and project management skills help you work effectively with both technical and non-technical stakeholders. These skills are essential to design scalable data solutions, ensure data integrity, and support organizational decision-making in cloud environments.

What are some typical challenges an AWS Data Architect faces, and how can I prepare for them?

AWS Data Architects often face challenges related to designing scalable and cost-effective data solutions that align with varying business requirements. You may need to integrate multiple data sources, optimize for both performance and security, and keep up with evolving AWS services and best practices. Tackling these issues requires a strong understanding of AWS data tools, a proactive learning mindset, and the ability to communicate complex data concepts to diverse teams. Gaining hands-on experience and staying updated through AWS certification and training can significantly help you prepare for these demands.

What is an AWS Data Architect job?

An AWS Data Architect is responsible for designing, implementing, and optimizing data solutions on the AWS cloud platform. They work with various AWS services like S3, Redshift, Glue, and Athena to build scalable, secure, and high-performance data architectures. Their role includes data modeling, ETL pipeline development, and ensuring compliance with best practices. They collaborate with engineers, analysts, and business teams to deliver reliable data solutions that support analytical and operational needs.

More about Aws Data Architect jobs
What cities are hiring for Aws Data Architect jobs? Cities with the most Aws Data Architect job openings:
What are the most commonly searched types of Aws Data Architect jobs? The most popular types of Aws Data Architect jobs are:
What states have the most Aws Data Architect jobs? States with the most job openings for Aws Data Architect jobs include:
Infographic showing various Aws Data Architect job openings in the United States as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $145,556 per year, or $70 per hour.

Data & AI Solution Architect - AWS Cloud Platforms

Tata Consultancy Service Limited

Edison, NJ • On-site

$132K - $178K/yr

Full-time

Posted 3 days ago


Job description

Role Overview
The Data & AI Architect (AWS) is responsible for designing and delivering enterprise-grade data platforms and AI-enabled solutions on Amazon Web Services (AWS). This role provides architectural leadership across data engineering, analytics, machine learning, and generative AI, supporting large-scale cloud modernization and AI-led transformation programs.
The architect partners with Sales, Industry Teams, Cloud Architects, and Delivery to shape scalable, secure, and cost-effective AWS data and AI architectures that align to client business objectives and TCSs AI.Cloud and AWS partnership strategy.
Key Responsibilities
  • AWS Data Platform Architecture
    • Architect end-to-end AWS data platforms including data lakes, lakehouse architectures, streaming platforms, and analytics layers.
    • Design solutions using AWS services such as Amazon S3, Glue, Athena, Redshift, EMR/Spark, Kinesis, Lambda, and managed databases.
    • Define data ingestion, transformation, and orchestration patterns (batch, streaming, real-time) for large-scale enterprise workloads.
    • Establish data governance, security, and access-control frameworks aligned with enterprise and regulatory standards.
  • AI, ML & GenAI Architecture
    • Design and guide implementation of AI/ML solutions on AWS, including model development, training, deployment, and lifecycle management.
    • Architect GenAI and agentic AI solutions leveraging AWS services such as Amazon Bedrock, SageMaker, vector databases, and AI orchestration platforms.
    • Define MLOps and LLMOps patterns for scalable, reliable, and cost-efficient AI operations.
    • Ensure Responsible AI practices including security, privacy, explainability, and governance.
  • Solution Shaping & Client Engagement
    • Partner with Sales and Solution Architects to shape data and AI solution strategies for proposals and large AWS pursuits.
    • Translate business requirements into scalable AWS data and AI architectures with clear value articulation.
    • Engage with client stakeholders (Data Leaders, Analytics Heads, AI Leads) to act as a trusted technical advisor.
  • Delivery & Architecture Governance
    • Provide architectural oversight during delivery to ensure adherence to approved designs and best practices.
    • Mentor data engineers, ML engineers, and platform teams on AWS data and AI patterns.
    • Support performance tuning, cost optimization (FinOps), and operational readiness of AWS data and AI platforms.
  • AWS Alliance & Innovation
    • Align architectures to AWS Well-Architected Framework and AWS data & AI best practices.
    • Collaborate with AWS teams on joint innovation initiatives, accelerators, and PoCs.
    • Contribute to reusable assets, reference architectures, and industry-specific data & AI offerings for AWS.

Required Experience & Qualifications
  • 1015+ years of experience in data architecture, analytics, or AI/ML engineering, with strong focus on AWS.
  • Proven experience designing and delivering enterprise data lakes, analytics platforms, and AI solutions on AWS.
  • Strong hands-on knowledge of AWS data services, AI/ML services, and distributed data processing frameworks.
  • Experience with cloud data migration, modernization, and large-scale platform implementation.
  • Ability to translate com plex technical architectures into business outcomes.

Preferred Attributes
  • Experience with GenAI, LLMs, vector search, and agentic AI patterns on AWS.
  • Industry experience in Life Sciences, Healthcare, Manufacturing, Financial Services, or Transportation.
  • Familiarity with Databricks on AWS and third-party data ecosystems.
  • AWS certifications such as Data Analytics, Machine Learning, or Solutions Architect.

Salary Range: $132,000-$178,250 a year
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