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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Solutions Architect - **Company:** Anveta Inc - **Location:** Minneapolis, MN, United States - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon S3, Business Analytics Applications, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Security, DevOps, Python (Programming Language), PCI Data Security Standards, SQL Databases, Data Streaming, Real Time Systems, Data Ingestion, Snowflake, Apache Spark, Servicebus, Data Lakes, Data Analytics, AWS Data Analytics, Apache Kafka, Api Gateway, Stream Analytics, Data Pipelines, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/22204396-1057-4e0a-b3f6-b752e9b820d3 ## About the Role o Data Engineering (Spark, SQL, Python) o Data pipelines & ETL frameworks * Deep expertise in AWS data stack: o Glue, Redshift, S3, EMR, Athena o Kinesis / Kafka for streaming * Experience with: o Modern data platforms (Databricks / Snowflake preferred) Architecture * Proven ability to: o Design scalable data architectures o Define data flows, models, and integration patterns * Strong understanding of: o Batch vs real-time processing o Data governance & quality frameworks Consulting & Client Skills * Experience in client-facing roles (consulting/services firms preferred) * Strong ability to: o Lead discussions with business + tech stakeholders o Convert requirements into solution designs * Excellent communication and storytelling skills Banking / Financial Domain (Preferred) * Exposure to: o Risk, fraud, payments, reporting, regulatory systems * Understanding of: o Data compliance and security in banking ## Description 1. Client Engagement & Consulting 2. Deep Data Architecture / Engineering Expertise 3. Strong Problem-Solving & Techno-functional Thinking The ideal candidate is someone who has grown within consulting/service organizations, understands how to translate business problems into scalable data solutions, and is still close enough to technology to guide hands-on teams. Key Responsibilities 1. Client Engagement & Consulting * Act as a trusted advisor to banking clients (business + technology stakeholders) * Lead: o Discovery workshops o Use case identification o Solution discussions and architectural reviews * Translate business problems (risk, fraud, customer analytics, reporting) into data-driven solutions * Drive stakeholder alignment across business, data, and engineering teams 2. Data Architecture & Engineering Leadership * Design and own end-to-end data architectures on AWS, including: o Data lakes / lakehouse architectures o Batch + real-time pipelines o Data ingestion, processing, and consumption layers * Define data models, governance frameworks, and architecture blueprints * Provide hands-on guidance on: o ETL/ELT pipelines o Streaming (Kafka / Kinesis) o Analytics platforms (Redshift / Snowflake / Databricks) 3. AWS Cloud Architecture * Architect scalable and secure AWS environments using: o S3, Redshift, Glue, Athena, EMR o Lambda, ECS/EKS, Step Functions o API Gateway, EventBridge, Kinesis * Ensure adherence to: o AWS Well-Architected Framework o Banking compliance (RBI / PCI-DSS / data security) 4. Problem Solving & Solutioning * Break down ambiguous business problems into structured solutions * Drive solution design with trade-off analysis (cost, performance, scalability) * Support: o Data modernization initiatives o Legacy-to-cloud transformations o Real-time analytics and reporting solutions 5. Delivery & Team Leadership * Mentor and guide data engineers, cloud engineers, and analysts * Ensure high-quality architecture implementation * Collaborate with offshore/onshore teams for delivery success * Drive best practices in: o Data engineering o DevOps & automation o Testing and observability ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Hate organising your photos? Try it with 5 Terabytes](https://www.wearedevelopers.com/videos/79-hate-organising-your-photos-try-it-with-5-terabytes) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)