AWS Solution Architect Technical Lead

Hours: 9:00am to 5:00pm Weekdays (Monday Friday) Lead the design and implementation of scalable, cloud-native data solutions using AWS services such as Glue, Lambda, Redshift, S3, and Step Functions. Lead solution design and development across data platforms, APIs, applications, and services using AWS-native tools. Develop and optimize robust data pipelines for ingestion, transformation, orchestration, and delivery using Python and AWS tools. Work with product and business stakeholders to align technical solutions with strategic priorities and roadmap objectives. Provide technical leadership to data engineering teams, fostering best practices in coding, design, testing, and DevOps. Oversee Agile ceremonies such as sprint planning, backlog grooming, and delivery tracking using tools like Jira. Ensure operational excellence by monitoring data solutions, proactively addressing issues, and ensuring high availability and performance. Collaborate with data governance, analytics, and architecture teams to ensure data quality, security, and compliance. Leverage AI/ML and generative AI tools (e.g., ChatGPT, Copilot) to improve automation, development speed, and operational efficiency. Contribute to continuous improvement efforts by driving innovation in DevOps, workflow automation, and engineering processes. Apply MDM best practices to help maintain data consistency and integrity across domains such as customer, product, or vendor. Implement monitoring, logging, and alerting solutions using AWS services such as CloudWatch, CloudTrail, and AWS Config to support observability and operational efficiency. Architect cloud-native systems using services such as AWS Glue, Lambda, S3, Redshift, DynamoDB, Aurora, and Step Functions. Design robust, secure, and scalable data pipelines and microservices using Python and modern cloud patterns. Translate complex business needs into scalable, maintainable technical solutions that prioritize performance and cost efficiency. Guide technical teams through development best practices, code reviews, and architecture discussions. Drive cloud modernization initiatives, establishing IaC practices using AWS CDK, Terraform, or CloudFormation. Define and enforce cloud architecture standards, security protocols, governance, and operational best practices. Utilize Agile or SAFe methodologies to deliver value iteratively while tracking progress and managing risk. Integrate cloud solutions with enterprise platforms (e.g., CRM, BI tools) via APIs and data connectors. Promote a culture of innovation, mentoring engineers and fostering collaboration across teams. Technical Experience

Minimum Degree Requirement:

Bachelors degree or equivalent in computer Science, Information Technology or related field. 4 Years of Experience. Minimum years of experience must include the following: 4 years of experience in cloud architecture, data engineering, or solution development in AWS environments. 3 years of experience in Kubernetes workloads on various clouds including AWS, GCP and Azure 4 years of experience with system integrations between internal and external platforms. 4 years of experience in Python for scripting, automation, and ETL development. 3 years of supporting Gitlab Pipelines and Terraform to manage IaC across several AWS resources/services Expertise in core AWS services: S3, Lambda, Glue, Redshift, DynamoDB, API Gateway, Step Functions, Aurora. Familiarity with microservices architecture, API design, and serverless computing models. Solid understanding of DevOps practices including CI/CD, observability, and infrastructure automation. Experience working in Agile environments with tools like Jira. Familiarity with data privacy and compliance frameworks (e.g., GDPR, CCPA). Knowledge of modern data stack and Lakehouse architecture (e.g., Lake Formation, Athena, Snowflake). Prior experience in a technical role or demonstrated ability to quickly troubleshoot technical problems to root cause to restore service. deep understanding of SRE Concepts, passionate about SRE transformation and excellent knowledge of Cloud architecture practical experience in defining and building automation routines to improve the stability and quality of production service and familiarity with microservices architecture and experience in building RESTful Service Ability to quickly comprehend the functions and capabilities of new technologies. Knowledge of open telemetry observability frameworks, pipelines and publish/subscribe models. Texplorers is a global leader in next-generation digital services and consulting.

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