Senior Level Aws Data Engineer Jobs
Senior level aws data engineer jobs put experienced engineers in charge of platform architecture, data pipeline ownership, and the cross-functional initiatives that drive data strategy forward. Roles are concentrated across Technology & Software, Distribution & Wholesale, and E-Commerce & Online Marketplaces, with a mix of on-site, remote, and hybrid settings, and employers like Amazon Web Services, Amazon, and Capgemini hiring at this level now.
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Key Responsibilities
✅ Solution Architecture & Design
- Lead end-to-end architecture for AWS Connect integrated with Salesforce Service Cloud Voice
- Design scalable, secure, and high-availability contact center solutions
- Define architecture for:
o Voice, chat, and digital channels
o Omni-channel customer journeys
________________________________________
✅ AWS Connect Architecture
- Design and implement:
o Routing profiles, queues, and workforce structures
- Architect integrations with:
o Amazon Lex (voice/chat bots)
o Amazon S3, Kinesis, CloudWatch
- Design call recording, transcription, and analytics solutions
✅ Salesforce Service Cloud Voice
- Architect Service Cloud Voice implementations:
o Screen pops, call controls, and agent workspace
- Design and optimize:
o Case management workflows
o Service console and knowledge management
- Enable real-time integration between telephony and CRM
✅ Integration & API Design
- Design and oversee integrations using:
o Middleware (MuleSoft, etc.)
- Ensure seamless data flow between:
o Salesforce
o External enterprise systems (CRM, ERP, databases)
________________________________________
✅ Technical Leadership
- Provide architectural governance and best practices
- Lead technical design sessions and code reviews
- Mentor developers, engineers, and analysts
- Define standards for:
o Scalability
o Performance
________________________________________
✅ Agile Delivery & Stakeholder Management
- Work closely with:
o Business stakeholders
o Delivery teams
- Drive Agile processes:
o Backlog prioritization
o Release planning
- Translate business requirements into technical architecture
✅ Testing & Deployment Strategy
- Define testing strategy:
- Lead deployment planning:
o Release management
- Ensure high system availability and minimal downtime
✅ Monitoring, Reporting & Optimization
- Design monitoring solutions using:
o Salesforce reporting
- Analyze KPIs:
o Agent efficiency
o Customer experience metrics
- Continuously optimize system performance and cost
Required Skills & Experience
- ✅ 8–12+ years in contact center / CX architecture
- ✅ Strong hands-on experience with:
o Salesforce Service Cloud Voice
- ✅ Deep expertise in:
o CTI integration
o Omni-channel routing
- ✅ Strong knowledge of:
o Salesforce platform (Service Cloud, Flows, Omni-Channel)
- ✅ Experience with:
o Middleware tools
- ✅ Strong understanding of:
o Security and compliance
________________________________________
Preferred Qualifications
- ✅ AWS Certifications:
- ✅ Salesforce Certifications:
o Application/System Architect
- ✅ Experience with:
o Analytics and reporting platforms
- ✅ Experience with large enterprise implementations
Applications will be accepted until 07/10/2026.
The annual salary for this position is between $ 130,000– $ 160,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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Find JobsSenior Level Aws Data Engineer Job Market
Who's Hiring
- Amazon Web Services38
- Amazon25
- Capgemini7
- Cognizant6
- NTT DATA3
Top Industries Hiring
- Technology & Software73
- Distribution & Wholesale35
- E-Commerce & Online Marketplaces28
- Retail27
- Consulting & Professional Services20
Senior Level Aws Data Engineer Jobs: Frequently Asked Questions
How do I get a senior level aws data engineer job?
At the senior level, employers look beyond technical execution to architectural judgment and cross-team influence. Candidates who stand out demonstrate ownership of end-to-end data systems, a history of designing scalable pipelines on AWS services like Redshift, Glue, and Lake Formation, and the ability to mentor junior engineers. Certifications like AWS Certified Data Analytics or Solutions Architect carry weight, but documented impact on production systems matters most.
Which companies hire senior level aws data engineers?
Companies hiring senior level aws data engineers right now include Amazon Web Services, Amazon, and Capgemini, based on current listings on Migrate Mate as of July 2026. Hiring at this level tends to come from large enterprises scaling their cloud data platforms, technology firms building internal analytics infrastructure, and consulting organizations delivering data solutions for enterprise clients.
Are there remote senior level aws data engineer jobs?
Yes, remote and hybrid options are widely available at the senior level, though some roles require on-site presence for regulated industries or infrastructure-critical teams. About 33% of senior level aws data engineer openings are remote or hybrid as of July 2026, reflecting strong demand for experienced engineers who can lead distributed data initiatives without proximity to a central office.
What makes a aws data engineer role senior level?
A senior level aws data engineer role is defined by scope and ownership rather than task execution. Senior engineers are expected to set the architecture direction for data platforms, make infrastructure decisions that affect multiple teams, and take accountability for system reliability and scalability. Mentoring less experienced engineers and collaborating with data scientists, product managers, and engineering leaders are standard expectations, not occasional responsibilities.
Which industries hire the most senior level aws data engineers?
Senior Level aws data engineer roles concentrate in Technology & Software, Distribution & Wholesale, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they manage large, complex data ecosystems where experienced engineers are needed to own platform design, ensure data quality at scale, and align infrastructure decisions with broader business objectives.