Data Architect - Senior Data Architect

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🕒 July 2, 2025

🇺🇸 United States – Remote

💵 $150k - $190k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Innovative Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🤖 Artificial Intelligence

Cloud • SaaS • Artificial Intelligence

Innovative Solutions is a full-service IT solutions provider that specializes in helping businesses leverage the power of the cloud to drive growth. As an AWS Premier Tier Services Partner, Innovative Solutions offers a range of services including AWS cloud migrations, Managed Services, Generative AI, Application Modernization, and Cloud Operations. The company is committed to transforming IT systems to support business growth strategies, with a focus on providing tailored solutions that improve client acquisition and retention while driving profitability. With over 120 AWS certifications and a team of 100% cloud certified professionals, Innovative Solutions emphasizes customized, client-focused services to achieve a high client retention rate.

📋 Description

• As a Cloud Architect on our Professional Services team, you will be responsible for designing, implementing, migrating to, and managing clients' data-driven cloud architectures and infrastructure using AWS. • You will work alongside team members to help migrate customer data systems to the cloud, build and optimize data pipelines and analytics solutions, architect scalable data platforms, recommend data technologies and storage solutions to meet client needs, contribute to data engineering R&D initiatives, and mentor team members on data architecture best practices. • Responsible for: • Creating, implementing, and maintaining cloud architecture for clients • Migrating systems to hybrid or cloud-based solutions • Troubleshooting and optimizing clients’ cloud infrastructure • Working with developers to support and maintain application lifecycles • Assisting with design and implementation of new cloud architecture that follow best practice guidelines • Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs • Actively participating in team meetings and cross-functional interactions • Keeping team members and supervisors informed of progress and issues • Actively contributing in client project status meetings • Contributing to R&D projects to validate/invalidate new services offerings • Mentoring and guiding members of the delivery team in a technical and non-technical capacity • Remaining current with technology trends and new technologies • Proposing latest technology usage and integration standards • How you will be successful: • Living and breathing the “cloud-first” approach • Having a high degree of analytical thinking capability to solve complex business problems • Obsessively delivering amazing customer experiences • Becoming a subject matter expert in one or more cloud platforms in 9-12 months • Building trusting relationships with team members and collaborating departments • Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry) • Always be learning

🎯 Requirements

• 5+ years professional IT experience • 2+ years professional AWS or Azure experience • At least (1) AWS or Azure Certification (professional level) • Programming languages like Python, R, Java, Scala etc. to build data pipelines, perform data analysis and create machine learning models. • SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra etc. to store and query large datasets. • Data modeling skills - ability to design conceptual, logical and physical data models. • Understanding of dimensional modeling, star schemas, data warehouses. • ETL (Extract, Transform, Load) tools like Informatica, Talend, Pentaho etc. to integrate and move data between systems. • Big data frameworks like Hadoop, Spark, Kafka etc. for distributed data processing and building data lakes • Machine learning frameworks like Tensorflow, PyTorch, Keras, Scikit-Learn for building ML models. • Knowledge of data architecture patterns like lambda, kappa architecture. Ability to design scalable and flexible data pipelines.