Data Solutions Architect

Lighthouse Technology Services is partnering with our client to fill their Data Solutions Architect position! This is a 6+ months contract with expected conversion to FTE and will be remote within the US. This role will be a W2 employee of Lighthouse Technology Services. No C2C or subcontracting arrangements will be considered., * Architect and deliver cloud-based data platforms (Azure Data Lake, Databricks, Kafka) and scalable data pipelines that enable advanced analytics and business intelligence across commercial banking domains

• Design and implement ETL/ELT frameworks for ingesting, transforming, and integrating data from diverse sources, including legacy financial systems, SaaS platforms, and real-time data streams
• Collaborate with Enterprise Architecture to ensure all solutions adhere to architectural standards, reference models, and technology roadmaps while meeting financial targets
• Lead deployment of data warehouses, lakehouses, and analytics sandboxes supporting business intelligence, machine learning, and reporting needs (Power BI, Snowflake)
• Define and enforce data governance, metadata management, and data quality standards in accordance with regulatory requirements and enterprise architecture guidance
• Drive technical evaluations and proof-of-concept projects for emerging data technologies (real-time analytics, data mesh, AI/ML platforms)
• Guide Agile/DevOps teams in implementing CI/CD pipelines, automated testing, and infrastructure-as-code for data solutions
• Produce comprehensive technical documentation including architecture diagrams, data flow maps, security models, and operational runbooks for solution handoff
• Partner with domain leadership and subject matter experts across commercial lending and treasury management to understand business drivers and translate them into scalable solution designs
• Participate in governance activities and evaluate quality and compliance of delivered solutions to ensure alignment with enterprise architecture standards

• 5+ years of solution architecture or technical implementation experience, with 2+ years focused on data engineering or enterprise data platforms
• Strong expertise in commercial banking products and services, particularly across commercial lending and treasury management domains
• Hands-on experience designing and deploying cloud-native data platforms using Azure/AWS/Google Cloud Platform, with proficiency in Databricks, Kafka, and modern data technologies
• Proven ability to develop ETL/ELT frameworks and data pipelines for both real-time and batch processing environments
• Solid understanding of data governance, data quality management, metadata management, and regulatory compliance requirements (GDPR, CCPA)
• Experience with containerization (Kubernetes), microservices architecture, and DevOps practices including CI/CD pipelines
• Excellent communication skills with demonstrated ability to articulate complex technical concepts to both technical and non-technical stakeholders at all organizational levels
• Bachelor’s degree in Computer Science, Engineering, or related technical field; AWS/Azure Solutions Architect or Certified Data Engineer certification preferred