Senior Level Associate Technical Architect Jobs
Senior level associate technical architect jobs place experienced professionals in charge of end-to-end solution design, architectural decision-making, and the technical teams that deliver complex systems. Openings concentrate in Technology & Software, Consulting & Professional Services, and Artificial Intelligence, with 21% remote or hybrid availability, and employers like Excelligence Learning Corporation, Photon, and ektello hiring at this level now.
Find JobsOverview
Showing 5 of 34+ Senior Level Associate Technical Architect jobs











Job Title: Solution Delivery Lead / Technical Architect
Location: Alameda, CA
Technology: AWS Data + Tableau + Salesforce Integration
Domain: Clinical & Pharmaceutical Experience (Mandatory)
Experience Range: 10–15 Years
Primary (Must-Have) Skills
- 13+ years of overall IT experience, with 8+ years in Data Engineering & Analytics, including end-to-end data solution design, architecture, and enterprise data platform implementation.
- 6+ years of hands-on experience in AWS data architecture, including Amazon S3, AWS Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS, with a strong understanding of cloud-native data patterns, SQL development, and advanced data modeling.
- 3+ years of experience integrating Salesforce (Sales Cloud / Service Cloud) with external data platforms using APIs, connectors, and middleware tools.
- 3+ years of experience leading data engineering teams as a Technical Architect / Lead, providing architecture guidance, code reviews, design standards, and mentoring developers.
- 4+ years of hands-on experience with Tableau, including dashboard development, data modeling, performance tuning, and data visualization best practices.
- 3+ years of experience in real-time and batch data processing architectures, including streaming frameworks, large-scale data ingestion, and CI/CD.
Job Description / Roles & Responsibilities (R&R)
- Design and define enterprise-level data architecture across AWS data platforms, ensuring scalability, security, performance, and alignment with business strategy.
- Architect, develop, and oversee the implementation of data lake/lakehouse solutions using AWS services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Lake Formation.
- Lead the design and development of robust ETL/ELT pipelines (batch and real-time), ensuring high data quality, reliability, and performance optimization.
- Integrate and synchronize data between Salesforce and AWS data platforms.
- Define and implement enterprise data models (conceptual, logical, physical), including dimensional modeling (Star/Snowflake schemas) to support analytics and reporting needs.
- Establish BI architecture standards using Tableau, including semantic layer design, dashboard governance, security (row-level security), and performance optimization.
- Translate complex business requirements into scalable technical architecture and actionable data solutions.
- Provide hands-on technical leadership in SQL, Python/PySpark, query optimization, and performance tuning for large-scale datasets.
- Define and enforce data governance, security frameworks (IAM, encryption, masking), and compliance standards across the data ecosystem.
- Guide teams in implementing CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and DevOps best practices for data platforms.
- Review solution designs and code to ensure adherence to architectural standards, scalability principles, and best practices.
- Collaborate with cross-functional teams to gather requirements and deliver scalable solutions.
- Drive modernization initiatives, including migration from legacy/on-premises systems to AWS cloud environments.
- Ensure monitoring, logging, observability, backup, and disaster recovery strategies are implemented effectively.
- Mentor and technically guide data engineers and BI developers, establishing development standards and reusable frameworks.
- Continuously evaluate emerging technologies, BI trends, and AWS innovations to recommend improvements and optimize enterprise data capabilities.
Soft Skills / Other Skills
Communication Skills:
- Communicate effectively with internal and customer stakeholders.
- Communicate through verbal discussions, emails, and instant messages.
Interpersonal Skills:
- Collaborative mindset; comfortable working across delivery, product, and sales functions.
- Ability to distill complex industry concepts into digestible insights for technical and non-technical audiences.
- Self-driven, organized, and adaptive in a fast-paced environment.
Problem-Solving and Analytical Thinking:
- Capability to troubleshoot and resolve issues efficiently.
- Strong analytical mindset.
Task / Work Updates:
- Prior experience working on Agile/Scrum projects, with exposure to tools like Jira.
- Provide regular updates and demonstrate proactive and diligent execution of responsibilities.
Expected Outcome
We are seeking a highly skilled AWS Data Architect with strong experience in Salesforce and Tableau integration to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will work closely with business stakeholders, data teams, and CRM teams to ensure seamless data flow, reporting, and insights generation.
See All 34 Senior Level Associate Technical Architect Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSenior Level Associate Technical Architect Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software16
- Consulting & Professional Services10
- Artificial Intelligence3
- Staffing & Recruiting2
- Electronics & Hardware2
Senior Level Associate Technical Architect Jobs: Frequently Asked Questions
How do I get a senior level associate technical architect job?
Employers at this level look for candidates who can own architectural decisions from requirements through delivery, not just contribute to them. Demonstrating that you've led design reviews, resolved cross-team technical conflicts, and mentored junior architects gives you a clear edge. A portfolio of solutions you shaped end-to-end, ideally with measurable outcomes, signals readiness for senior scope better than titles alone.
Which companies hire senior level associate technical architects?
Companies hiring senior level associate technical architects right now include Excelligence Learning Corporation, Photon, and ektello, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from large enterprises and growth-stage technology firms that run multi-team delivery programs and need architects who can align technical strategy with business goals.
Are there remote senior level associate technical architect jobs?
Yes, though availability varies by employer and industry. About 21% of senior level associate technical architect openings are remote or hybrid as of November 2026, reflecting strong demand from technology and consulting organizations that operate distributed engineering teams. On-site roles remain common in sectors where systems integration, data security, or regulated infrastructure requires in-person presence.
What makes an associate technical architect role senior level?
Senior level roles are defined by ownership and scope rather than task execution. Expectations include driving architectural direction across multiple workstreams, making build-versus-buy and technology stack decisions independently, reviewing and approving designs produced by others, and mentoring mid-level architects. The gap from mid level is the shift from contributing to a technical vision to being accountable for it.
Which industries hire the most senior level associate technical architects?
Senior level associate technical architect roles concentrate in Technology & Software, Consulting & Professional Services, and Artificial Intelligence, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they run large-scale modernization programs, cloud migrations, and platform consolidations that require architects who can govern technical decisions across long delivery cycles.