1

Executive Aws Data Analytics Jobs (NOW HIRING)

Architect and build modern, scalable data pipelines on AWS, leveraging services such as Redshift, RDS, and cloud-native tooling to support real-time and batch analytics * Drive the evolution of a ...

Aretec seeks an AWS Data Analytics and Management Lead for a 100% remote opportunity experience with data management and engineering projects, DevSecOps,, and technical architecture. * strong ...

Apply analytical and strategic thinking, finding unique approaches to hitting your plan and ... Account Executive, AWS 1 is $66,000 annually plus 30% Target Incentives Account Executive, AWS 2 is ...

Account Executive - AWS Employment Type: Fulltime This Is a fully remote position with travel ... We work at the intersection of cloud, data, and AI to solve real business problems and not just ...

Account Executive - AWS Employment Type: Fulltime This Is a fully remote position with travel ... We work at the intersection of cloud, data, and AI to solve real business problems and not just ...

AWS Data Architect

Clinton, NJ · On-site

$66.50 - $85.50/hr

AWS Analytics Stack * Dashboard Design * AI Agent Design & Configuration * Workflow Automation ... AWS , Data Architecture, Lakehouse, S3, Glue, PySpark

New

AWS Data Engineer

Alameda, CA · On-site

$129K - $155K/yr

AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect preferred. Communication: Excellent communication skills, with the ability to work collaboratively in a team environment.

AWS Data Architect

Clinton, NJ

$66.50 - $85.50/hr

AWS Data Architect Location: Clinton, NJ (Onsite) Duration: Long Term Overall 12+ years of ... AWS Analytics Stack * Dashboard Design * AI Agent Design & Configuration * Workflow Automation ...

New

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

AWS Data Architect Location: Neenah, WI Job type: Contract Position Overview We are seeking a ... Collaborate with data engineers, analysts, and business stakeholders to translate requirements into ...

AWS Data Architect

Torrance, CA · On-site

$67.50 - $88.75/hr

... data querying and analytics solutions using AWS Athena and Aurora databases Build and optimize interactive dashboards and visualizations with AWS Quick Sight to support business intelligence ...

AWS Data Architect

Neenah, WI · On-site

$65.50 - $85.75/hr

We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will have ...

AWS Data Architect

Clinton, NJ

$66.50 - $85.50/hr

... analytics, and governance. Responsibilities * Define and own end-to-end data architecture on AWS ... ingestion, storage, transformation, consumption) * Design scalable, secure, and high-performing ...

New

AWS Data Architect

Torrance, CA · Hybrid

$65.50 - $84.25/hr

Data Analytics Enablement: * Create data catalogs and metadata management systems to facilitate ... AWS Expertise: Deep understanding of AWS data services including S3, Glue, Redshift, Athena, Lake ...

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Data Analytics Enablement: * Create data catalogs and metadata management systems to facilitate ... AWS Expertise: Deep understanding of AWS data services including S3, Glue, Redshift, Athena, Lake ...

AWS Data Engineer

Plano, TX · On-site

$109K - $131K/yr

AWS, Java/ Python, Lake formation, Glue (ETL), Spark/PySpark, ETL Domain: Banking / Credit card ... analysis and ability to determine appropriate tools and data patterns to perform analysis • ...

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 ...

next page

Showing results 1-20

Executive Aws Data Analytics information

See salary details

$26.5K

$93.6K

$184K

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

As of Jun 12, 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:
AWS Data & Analytics Manager

AWS Data & Analytics Manager

MMD Services

Chicago, IL • On-site

Other

Posted 3 days ago


Job description

Our client is a well-established financial services organization experiencing rapid growth. They are committed to delivering innovative, customer-centric solutions while maintaining a strong focus on operational excellence and technology advancement. With an expanding national footprint, the company offers a dynamic environment where talented professionals can contribute to meaningful transformation and long-term success.


We’re hiring a hands-on Data and Analytics Manager to lead a small, high-performing team while playing a key role in modernizing our data infrastructure.


This is a player-coach position where you’ll balance team leadership with technical execution, helping to build scalable data pipelines, improve our data architecture, and enable advanced analytics and AI initiatives.


This role requires 3 days onsite at the downtown Chicago, IL office.


Position Summary

  • Lead and develop a high-impact team of BI architects and data engineers, fostering a culture of ownership, innovation, and continuous improvement while acting as a hands-on technical leader
  • Architect and build modern, scalable data pipelines on AWS, leveraging services such as Redshift, RDS, and cloud-native tooling to support real-time and batch analytics
  • Drive the evolution of a cloud-first data platform, leading AWS modernization initiatives and influencing architectural direction, tooling strategy, and best practices
  • Communicate strategic improvements to team and leadership - active contribution to BI transformation end to end
  • Partner cross-functionally with business and technology stakeholders to translate complex requirements into scalable, high-performance data solutions that drive actionable insights
  • Champion performance, scalability, and reliability across the data ecosystem, proactively identifying opportunities to optimize pipelines, reduce latency, and improve data accessibility


Experience:

  • Strong hands-on experience with AWS data ecosystem, including Redshift, RDS, and building cloud-native data pipelines
  • Deep expertise in ETL/ELT frameworks and modern data architecture, with a focus on scalability, performance, and maintainability
  • Proven experience managing, leading, & mentoring experienced and green data teams in a fast-paced, delivery-oriented environment
  • Track record of building and scaling cloud-based data platforms within AWS
  • Ability to operate as both a technical leader and hands-on contributor (player-coach mindset)
  • Experience driving data platform modernization or cloud migration initiatives
  • Exposure to evaluating and implementing new data tools and technologies with a strong point of view on architecture and best practices


MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification, in accordance with applicable federal, state, and local laws.