Solution architect (aws) Jobs

AWS Pre-Sales Solution Architect

The AWS Pre-Sales Solution Architect partners with our sales teams to qualify an...

Location

United States

Salary:

100000.00 - 120000.00 USD / Year

Tech Holding

Expiration Date

Until further notice

Requirements

2+ years of hands-on architecture or engineering experience with AWS services across compute, storage, networking, and security
2+ years in a pre-sales, sales engineering, or customer-facing consulting role
Proven track record designing and scoping multi-tier cloud solutions for enterprise workloads
Expertise creating Statements of Work, level-of-effort estimates, and migration roadmaps
Strong presentation and white-boarding skills with C-level and technical audiences
Background and experience working in the context of a sales team
AWS Solutions Architect – Associate (or higher) certification
Direct experience executing projects under AWS Migration Acceleration Program (MAP)
Working knowledge of IAM, VPC design, security best practices, and cost optimization
Familiarity with AI productivity tools, including use of RAG-based solutions

Job Responsibility

Engage with customers to gather business and technical requirements through workshops, white-board sessions, and RFP/RFI responses
Design scalable, secure, cost-optimized AWS architectures aligned to customer objectives and industry best practices
Create Statements of Work (SOW), effort estimates, and high-level project plans
Deliver technical presentations, demos, and proofs-of-concept that clearly articulate value and ROI
Collaborate with Account Executives to develop win strategies, deal pricing, and proposal content
Maintain deep knowledge of AWS services, marketplace solutions, and partner programs
Proficiency with architecture and collaboration tools such as Miro, Zod, and the C4 model
Provide thought leadership and mentorship to internal teams on cloud architecture and emerging AWS capabilities

What we offer

Remote Work Opportunities
Flexible Work Hours
Unlimited PTO
Competitive Salaries
Health + Dental + Vision + Life Insurance
Long Term disability + 401k Match
Professional Development Opportunities

Fulltime

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Poland , Wroclaw

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Serbia , Yerevan

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Serbia , Belgrade, Novi Sad

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

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Solutions Architect

The international IT сompany Andersen invites a Solutions Architect in Dallas wi...

Location

United States , Dallas

Salary:

Not provided

Andersen

Expiration Date

Until further notice

Requirements

Hands-on experience as a Solution Architect or Enterprise Architect for 5+ years
Prior experience in software development (ideally Python, Java, or .NET), enough to understand implementation complexity and architectural trade-offs
Proven ability to design complex distributed solutions for enterprise clients and/or high-growth startups
Ability to evaluate and compare architectural approaches, tools, and cloud services based on performance, scalability, cost, and maintainability
Strong domain experience in at least one of the following: Banking, FinTech, Healthcare, Oil & Gas, Insurance, AI/ML-based systems, Data Platforms / DWH / ETL
Experience participating in (or leading) pre-sales, discovery phases and architectural consulting engagements
Strong experience designing cloud-native solutions on Azure (priority), AWS (priority), and optionally GCP
Ability to create clear architectural documentation (C4, sequence diagrams, ERD, context diagrams, etc.)
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical discipline
Level of English – from Advanced and above

Job Responsibility

Supporting multiple pre-sales initiatives, ensuring consistent architectural quality across domains and clients
Actively developing the technical community in Dallas, TX, and participating as a co-host, speaker, or leader
Guiding engineering teams on architectural decisions throughout all project phases to align with the solution vision
Collaborating with business and technical stakeholders to understand requirements and long-term goals
Translating business drivers into scalable, secure, and future-proof solutions across cloud, applications, and data layers
Defining the technology vision and high-level solution approach for client needs
Creating and presenting architectural artifacts (e.g., C4 diagrams, integration designs, cloud topologies)
Leading technical workshops and deep-dive sessions with clients and internal teams
Collaborating with Delivery Managers, developers, and SMEs to refine scope and ensure feasibility
Identifying risks, dependencies, and constraints, and proposing mitigation strategies

What we offer

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Guarantee of professional, financial, and career growth
The company has introduced systems of mentoring and adaptation for each new employee
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities
Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
Certification compensation (AWS, PMP, etc)
Referral program
English courses

Fulltime

ML Solutions Architect

As an ML Solutions Architect, you'll be the technical bridge between clients and...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Ability to architect end-to-end ML systems for diverse business problems
Deep understanding of the full ML lifecycle from data to deployment
Experience designing scalable, production-grade ML architectures
Ability to evaluate technical approaches (cost, performance, complexity)
Quickly assess if ML is an appropriate solution for a problem
Experience across various ML applications (RAG, Computer Vision, Time Series, Recommendation, etc.)
Strong experience in architecting LLM-based applications
Foundation in traditional ML algorithms and when to use them
Understanding of neural network architectures and applications
Knowledge of production ML infrastructure and DevOps practices

Job Responsibility

Lead technical discovery sessions with prospective clients
Understand client business problems and translate them into ML solutions
Design end-to-end ML architectures and technical proposals
Create compelling technical presentations and demonstrations
Estimate project scope, timelines, cost, and resource requirements
Support General Managers in winning new business
Serve as the primary technical point of contact for clients
Manage technical stakeholder expectations
Present technical solutions to both technical and non-technical audiences
Navigate complex organizational dynamics and conflicting priorities

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