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Aws Data Analytics Jobs (NOW HIRING)

AWS Data Engineer

Armonk, NY

$123K - $147K/yr

Develop end-to-end data pipelines for ingestion, transformation, storage, and analytics. * Build batch and real-time data processing solutions using AWS Glue, EMR, Kinesis, Spark, and Kafka. * Design ...

AWS DATA ENGINEER

Mountain View, CA · On-site

$134K - $161K/yr

AWS Data Engineer Location : Mountain View CA (100% onsite) Developing data pipelines in Python ... user flows for data analysis, processing, and visualization with Python Spark notebooks on ...

Implementing analytic models using AWS SageMaker for production workloads. Data Mesh and Data Products designing, and implementation knowledge will be an added advantage. Key Responsibilities: Our ...

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AWS Data Engineer

Armonk, NY · On-site

$123K - $147K/yr

Develop end-to-end data pipelines for ingestion, transformation, storage, and analytics. * Build batch and real-time data processing solutions using AWS Glue, EMR, Kinesis, Spark, and Kafka. * Design ...

AWS DATA ENGINEER

Mountain View, CA · On-site

$134K - $161K/yr

AWS Data Engineer Developing data pipelines in Python, Spark, or SQL to push structured enterprise ... Testing user flows for data analysis, processing, and visualization with Python Spark notebooks on ...

AWS Data Engineer

Armonk, NY · On-site

$123K - $147K/yr

Develop end-to-end data pipelines for ingestion, transformation, storage, and analytics. * Build batch and real-time data processing solutions using AWS Glue, EMR, Kinesis, Spark, and Kafka. * Design ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. Required Skills and Qualifications: • AWS Services:

AWS Data Engineer

Armonk, NY

$123K - $147K/yr

Develop end-to-end data pipelines for ingestion, transformation, storage, and analytics. * Build batch and real-time data processing solutions using AWS Glue, EMR, Kinesis, Spark, and Kafka. * Design ...

AWS Data Engineer

Irving, TX · On-site

$109K - $132K/yr

This role involves developing, deploying, and managing robust, efficient, and secure data pipelines and analytics solutions on AWS, leveraging core networking and compute services. Responsibilities:

AWS Data Architect

Dublin, OH · On-site

$61.25 - $80.25/hr

AWS Data Architect Location: Montpelier Vermont or Dublin Ohio (100% Onsite) Duration: FTE Only As ... This includes supporting traditional reporting and more advanced analyses based on artificial ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Contract Position Overview We are looking for a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms supporting scalable analytics and business intelligence.

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AWS Data Architect

Charlotte, NC · On-site +1

$130K - $165K/yr

AWS Data Architect/Engineer Company Overview Random Bit is a system modernization partner that ... This role collaborates with Enterprise Architects and Business Analysts who support enterprise ...

AWS Data Architect

Alameda, CA · On-site

$74 - $95/hr

Core skills: * AWS Redshift * ETL with Medallion architecture * Business Intelligence Optional ... Data Engineering & Analytics, including end-to-end data solution design, architecture, and ...

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Superior analytical and problem solving skills * Should be able to work on a problem independently ... Experience in AWS data lake/data warehouse/business analytics. * Experience in system analysis ...

AWS Data Architect

California City, CA · On-site

$78.25 - $100.50/hr

AWS Data Architect Location: Alameda, CA Experience Range 15 Years Primary (Must have skills)* - To ... Data Engineering & Analytics, including end-to-end data solution design, architecture, and ...

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AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS * Knowledge of ETL/ELT * End-to-end data solutions (ingest, storage, integration, processing ...

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Showing results 1-20

Aws Data Analytics information

What is an AWS Data Analytics job?

An AWS Data Analytics job involves designing, implementing, and managing data solutions using AWS services. Professionals in this role work with tools like AWS Glue, Amazon Redshift, AWS Lambda, and Amazon QuickSight to collect, process, and analyze large datasets. They help organizations make data-driven decisions by building scalable and efficient analytics pipelines. The role requires knowledge of cloud computing, data warehousing, big data technologies, and security best practices.

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

To succeed in an AWS Data Analytics role, you need a strong background in data analysis, cloud computing, and database management, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, Glue, Athena, and SageMaker, as well as certifications such as AWS Certified Data Analytics, are highly valued. Critical thinking, collaboration, and effective communication skills help professionals interpret data insights and work efficiently with cross-functional teams. Mastery of these abilities ensures accurate, scalable data solutions and facilitates impactful business decision-making in cloud environments.

What are some daily responsibilities of someone working in AWS Data Analytics?

In an AWS Data Analytics role, your daily activities may include designing and maintaining cloud-based data pipelines, processing and transforming large datasets, performing advanced data queries, and generating reports or dashboards for stakeholders. You will often collaborate with software engineers, data scientists, and business analysts to ensure data solutions are reliable and align with organizational goals. Continuous monitoring for performance optimization and troubleshooting any pipeline or infrastructure issues are also critical parts of the job. This dynamic environment offers the chance to work on diverse projects, enhancing both technical expertise and business understanding.

More about Aws Data Analytics jobs
What cities are hiring for Aws Data Analytics jobs? Cities with the most Aws Data Analytics job openings:
What are the most commonly searched types of Aws Data Analytics jobs? The most popular types of Aws Data Analytics jobs are:
What states have the most Aws Data Analytics jobs? States with the most job openings for Aws Data Analytics jobs include:
Infographic showing various Aws Data Analytics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data & AI Solution Architect - AWS Cloud Platforms

Data & AI Solution Architect - AWS Cloud Platforms

Tata Consultancy Services

Edison, NJ • On-site

$65.75 - $86.25/hr

Full-time

Posted 19 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

157th of 207 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Data & AI Solution Architect specializing in AWS Cloud Platforms. This role involves designing and delivering enterprise-grade data platforms and AI-enabled solutions, providing architectural leadership across data engineering, analytics, and machine learning to support cloud modernization and transformation programs.
Responsibilities:
• 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.
• 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.
• 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.
• 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.
• 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.
Qualifications:
Required:
• 10–15+ 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 complex technical architectures into business outcomes.
Preferred:
• 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.
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US