Job Description
Company Description Applogika is an AWS Advanced Tier Services Partner specializing in cloud-native services that help enterprises unlock value from their data and technology investments. The company designs, builds, and operates modern cloud and data platforms on AWS, enabling customers to accelerate migrations, analytics initiatives, and product development cycles. Applogika focuses on scalable, secure, and resilient architectures tailored to complex enterprise environments. Team members collaborate closely with clients to modernize legacy systems and implement best practices for cloud operations, governance, and performance.
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Role Description The AWS Data Solutions Architect is a role based in the Charlotte Metro area In this role, you will design and implement data and analytics solutions on AWS, including data lakes, data warehouses, and real-time data pipelines. You will collaborate with stakeholders to understand business requirements, translate them into technical architectures, and guide implementation teams through solution design, integration patterns, and performance optimization. Daily activities include conducting architectural reviews, creating solution diagrams and documentation, advising on security and governance, and partnering with consulting and engineering teams to ensure successful delivery. You will also support pre-sales efforts, contribute to best practices and reference architectures, and mentor colleagues on AWS data services and architectural standards.
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Qualifications
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- Strong Solution Architecture skills, including designing scalable, secure, and cost-efficient data and analytics solutions on AWS.
- Consulting and stakeholder engagement skills to gather requirements, present architectural options, and advise business and technical leaders.
- Experience with Software Development and Integration, including APIs, event-driven architectures, and CI/CD practices for data solutions.
- Ability to understand and translate Business Process needs into technical designs that improve data accessibility, quality, and decision-making.
- Hands-on experience with AWS data and analytics services (e.g., S3, Glue, Kinesis, Lambda, Redshift, Athena, EMR, RDS, DynamoDB) and related tooling.
- Knowledge of data modeling, ETL/ELT design, and best practices for data governance, security, and compliance.
- Proficiency in at least one programming or scripting language (such as Python or SQL) for data workflows and automation.
- Excellent communication, documentation, and collaboration skills, with the ability to work effectively in hybrid, cross-functional teams.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
- AWS certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Certified Data & Analytics Specialty) are highly beneficial.
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