Solutions Architect

Location : onsite Columbus, OH 5 days a week

Duration : 2 years

Rate : $85 on W2 (NO C2C)

Healthcare experience is required

Position Summary

The solutions architect proactively and holistically lead and supports domain-level activities that guide developing and managing a portfolio of solutions. Solutions include projects, systems (including applications, technologies, processes, and information), and shared infrastructure and application services. Trusted and respected as a thought leader who can influence and persuade business and IT leaders and IT development teams. Technology-neutral, motivated, and driven by achieving long-term business outcomes. Ability to work effectively in a team environment and lead cross-functional teams.

Understands business goals, objectives and outcomes, business capabilities, value streams, and business processes and their importance in solution architecture.

The solutions architect provides the necessary leadership, analysis, and design tasks related to supporting the development of technology solutions to ensure that solutions meet business needs and align with architectural governance and standards.

Job Description

• Certifications in cloud computing, data architecture, and data analytics. You should be a Certified Solutions Architect, AI Data engineer, or Data Scientist from Azure, AWS, or Google. If not, you should get it within 3 months of joining.
• End-to-end data architectures leverage cloud services for storage, processing, analysis, and visualization. Consider integrating with on-premises systems and multi-cloud scenarios for hybrid data architectures and disaster recovery strategies. Understand the organization's data requirements, including volume, variety, velocity, and veracity.
• Design ingesting data from various sources, including databases, streaming platforms, IoT devices, and third-party APIs. Implement data integration pipelines using cloud-native services like AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
• Design data storage solutions using cloud-native data stores such as Amazon S3, Azure Blob Storage, Google Cloud Storage, and relational or NoSQL databases like Amazon RDS and Azure SQL Database. Implement data partitioning, indexing, and optimization techniques.
• Architect data processing pipelines for transforming, enriching, and analyzing data at scale. Cloud-native services like Azure Data Factory, AWS Glue, AWS Lambda, Azure Functions, and serverless frameworks for data processing and ETL (Extract, Transform, Load) workflows. Define solutions using cloud-based analytics platforms (e.g., Azure Synapse Analytics, AWS Redshift, Google BigQuery) and visualization tools (e.g., Power BI, Tableau). Enable self-service analytics capabilities for end users.
• Define data governance policies and security controls to ensure data integrity, privacy, and regulatory compliance (e.g., GDPR, HIPAA, CCPA). Implement encryption, access controls, and auditing mechanisms to protect sensitive data.
• Incorporate machine learning and AI capabilities into data solutions for predictive analytics, anomaly detection, recommendation systems, and other advanced use cases. Leverage cloud services like Azure Machine Learning for model training and deployment.
• Implement monitoring and logging solutions to track the performance, reliability, and cost of cloud data solutions. Continuously optimize resource utilization, automate scaling, and identify cost-saving opportunities. Position requirements

Understand & Translate Business Needs (30%)

Apply Technology (25%)

Provide Enterprise Guidance (15%)

Qualifications

SKILLS