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Executive Aws Data Analytics Jobs (NOW HIRING)

Computer Task Group, Inc

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 ...

Computer Task Group, Inc

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 ...

United IT Solutions

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 ...

Sidram Technologies

AWS Data Lead

Erie, PA · On-site

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 ...

Computer Task Group

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 ...

United IT

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 ...

Computer Task Group, Inc

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 ...

Apex Informatics

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:

Computer Task Group, Inc

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 ...

Diverse Lynx

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:

Zortech Solutions

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 ...

Princeton IT Services

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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Executive Aws Data Analytics information

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$26.5K

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How much do executive aws data analytics jobs pay per year?

As of Jul 4, 2026, the average yearly pay for executive aws data analytics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Executive AWS Data Analytics professionals when leading analytics initiatives?

Executive AWS Data Analytics professionals often face challenges such as aligning cloud-based analytics solutions with business goals, managing large and diverse data sets securely, and ensuring data quality across multiple sources. They must also navigate fast-evolving AWS technologies, coordinate cross-functional teams with varying technical expertise, and balance project timelines with resource constraints. Effective communication, strategic planning, and ongoing skill development are key to overcoming these challenges and delivering impactful analytics solutions.

What are the key skills and qualifications needed to thrive as an Executive AWS Data Analytics professional, and why are they important?

To thrive as an Executive AWS Data Analytics professional, you need deep expertise in data analytics, cloud computing, and business intelligence, typically supported by a relevant degree and substantial experience in data-driven leadership roles. Familiarity with AWS analytics services (such as Redshift, Athena, Glue, and QuickSight), big data tools, and certifications like AWS Certified Data Analytics – Specialty are highly valued. Strategic thinking, leadership, and strong communication skills set top performers apart by enabling them to align data initiatives with business objectives and lead cross-functional teams. These skills and qualities are critical for leveraging cloud data solutions to drive organizational growth and informed decision-making.

What are Executive AWS Data Analytics roles?

Executive AWS Data Analytics roles involve overseeing and guiding the use of Amazon Web Services (AWS) data analytics tools and solutions within an organization. These professionals are responsible for shaping the data strategy, ensuring proper data governance, and maximizing the value of data-driven insights for business decision-making. They often lead teams of data engineers, analysts, and architects, and work closely with other executives to align analytics initiatives with organizational goals. Key responsibilities include managing cloud-based analytics projects, optimizing data workflows, and driving innovation through advanced analytics and machine learning solutions on AWS.
What cities are hiring for Executive Aws Data Analytics jobs? Cities with the most Executive 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 Executive Aws Data Analytics jobs? States with the most job openings for Executive Aws Data Analytics jobs include:
Executive Aws Data Analytics jobs near you
Data & AI Solution Architect - AWS Cloud Platforms

Data & AI Solution Architect - AWS Cloud Platforms

ClifyX

Edison, NJ • On-site

$65.75 - $86.25/hr

Other

Posted 16 days ago

Job description

Data & AI Architect (AWS)

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 TCS's 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 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 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.

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About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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