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Executive Aws Data Analytics Jobs (NOW HIRING)

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

AWS Certifications (Solutions Architect, Data Analytics Specialty) * Strong communication and leadership skills to work across business and technical teams

AWS Data Architect

Alameda, CA · On-site

$72.25 - $93/hr

Analytical mindset * Minimum 10+ years of overall IT experience, with 8+ years in Data Engineering ... AWS data architecture, including Amazon S3, Glue, Redshift, Athena, Lambda, EMR, Lake Formation ...

AWS Data Engineer

Reston, VA · On-site

$119K - $143K/yr

... analytics and data product needs. Key Responsibilities * Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms * Orchestrate workflows with AWS Step ...

At least 3- 5 years of hands-on experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions on AWS Cloud ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... AWS ... You will work closely with technical analysts, client stakeholders, data scientists, and other team ...

Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1.    Strong in ...

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data. Data Lake Management: Implement ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... AWS ... You will work closely with technical analysts, client stakeholders, data scientists, and other team ...

AWS Data Engineer

Newark, NJ · On-site

$53 - $58/hr

Nice to Have: * Experience in AWS data lake/data warehouse/business analytics. * Knowledge of ETL/ELT. * End-to-end data solutions (ingest, storage, integration, processing, access) on AWS.

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

AWS Data Engineer Job Location: Atlanta, GA Job Type: Contract * Design, develop, and maintain ... Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Utilize EMR clusters for distributed data processing and analytics, ensuring efficient resource utilization and performance. * Implement serverless workflows using AWS Step Functions to orchestrate ...

AWS Data Engineer (Senior)

$108K - $147K/yr

Preferred : • AWS Data Analytics Specialty Certification • Experience with Agile development methodology Company : Mactores is a technology consulting and product company focusing on customers ...

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Job Title: AWS Data Engineering Lead Location: San Francisco, CA(Locals Preferred but ok in US ... models) for analytics and reporting Perform code reviews and enforce coding standards, best ...

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

... data frameworks to support analytics, reporting, and data-driven decision-making. Key ... AWS services Build and manage data lakes and data warehouses (e.g., Amazon S3, Redshift, Glue ...

Account Executive - AWS This role is eligible for full-time remote employment within the US or can ... Most disaster recovery tools stop at backing up data. We've built the next generation of cloud ...

... Glue, AWS Lambda, and Amazon S3. * Perform data collection, cleaning, and feature engineering to ... Develop predictive models and statistical analyses using Python, R, or similar tools. * Deploy ...

AWS Data Engineer

$117K - $140K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This ... Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments.

Showing results 41-60

Executive Aws Data Analytics information

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$26.5K

$93.6K

$184K

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

As of Aug 14, 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?

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 is an Executive AWS Data Analytics?

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 Architect

Marencor

Fort Mill, SC • On-site

$56 - $72/hr

Contractor

Re-posted 17 days ago


Job description

Job Title: AWS Data Architect

Location: Fort Mill, SC / New York/ New Jersey (Hybrid)

Role Overview:

Incedo is seeking a seasoned Backbridge Solution Lead / Architect to drive the design and delivery of a critical data integration and processing platform leveraging AWS native services. This solution will serve as a strategic data bridge across key enterprise domains (such as transactions, positions, and commissions) supporting broader data modernization and platform consolidation goals.

The ideal candidate will bring deep experience in AWS-based data lake and streaming architectures, with the ability to operate across business and technical stakeholders to ensure scalable, secure, and compliant data solutions that integrate seamlessly with enterprise data ecosystem.

Key Responsibilities:

  • Lead the architecture and delivery of the Backbridge solution, serving as a near-real-time data integration layer across systems
  • Collaborate with enterprise data architects, domain leads, and product owners to align on business rules, governance, and platform integration
  • Design and build data pipelines leveraging AWS Glue, Lambda, MSK (Kafka), and Step Functions for both batch and streaming scenarios
  • Develop API-based integration services using API Gateway and Lambda to connect with upstream and downstream systems
  • Ensure role-based access control, data encryption, auditing, and compliance using IAM, Secrets Manager, and Lake Formation
  • Oversee orchestration of workflows using Glue Workflows and Step Functions
  • Support CI/CD automation using Terraform and GitHub Actions
  • Promote best practices in performance optimization, error handling, and observability   using CloudWatch and CloudTrail
  • Act as a key advisor in technical decision-making for future-state data architecture

Required Skills & Experience:

Cloud & AWS Technologies:

  • Proficiency in AWS services: S3, Glue, Lambda, Step Functions, CloudWatch, CloudTrail, IAM, Lake Formation, API Gateway, Secrets Manager, Parameter Store
  • Experience working with Amazon MSK (Kafka) for streaming ingestion and distribution
  • Familiarity with Athena, Redshift Spectrum, QuickSight for reporting use cases

Data Lake & Processing Frameworks:

  • Deep knowledge of Amazon S3, Apache Iceberg, AWS Glue Data Catalog, and Lake Formation for data governance
  • Prior experience with Snowflake or Databricks as part of cloud-native data strategy
  • Strong ETL development using Python, PySpark, and Glue Jobs

Orchestration & Integration:

  • Experience in orchestrating batch/streaming jobs with Glue Workflows and Step Functions
  • Expertise in building and managing RESTful APIs and secured endpoints via API Gateway

DevOps & CI/CD:

  • Hands-on experience with Terraform, GitHub Actions, and version-controlled infrastructure
  • Exposure to delivery framework or familiarity with secure SDLC and regulatory-compliant DevOps practices

BI and Analytics:

  • Understanding of Athena and QuickSight to support ad-hoc queries and reporting capabilities for operational teams

Preferred Qualifications:

  • Experience working in the financial services industry or a highly regulated environment
  • Exposure to Broker Dealer and WM data domains (e.g., Book of Records, positions, transactions, accounts, commissions, etc)
  • AWS Certifications (Solutions Architect, Data Analytics Specialty)
  • Strong communication and leadership skills to work across business and technical teams