Solution Architect-Advanced Analytics

Summary

Join CoEnterprise as a Solution Architect – Advanced Analytics and lead the design and delivery of cloud-native analytics architectures for enterprise clients. This highly technical role demands strong consultative and communication skills, requiring you to work directly with clients, assess their needs, define modern analytics solutions, and lead implementation across the data lifecycle. You will articulate the business value and ROI of these solutions, bridging the gap between IT and strategic business outcomes. The position involves leading architecture of data platforms, collaborating with stakeholders, designing data pipelines, guiding platform selection, presenting proposals, translating technical details for clients, supporting sales activities, and mentoring team members. Success requires a strong technical background and excellent communication skills.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related technical discipline
• 7+ years of experience in data and analytics, with 3+ years in a lead or architect role
• Proven ability to design and implement complex analytics platforms and data ecosystems
• Demonstrated experience communicating technical concepts to business audiences, with an emphasis on value realization and impact
• Background in consulting or professional services with client-facing responsibilities

Responsibilities

• Lead the architecture of scalable, secure, and cost-efficient data platforms on cloud infrastructure (AWS, Azure, GCP)
• Collaborate with client stakeholders to define business goals and map them to technical capabilities and solution designs
• Design and implement robust data pipelines (batch and streaming), modeling strategies, and analytics workflows using modern toolchains
• Guide the selection and integration of data warehousing, lakehouse, and visualization platforms
• Present architectural proposals and technical recommendations to client leadership, emphasizing expected business impact and measurable outcomes (e.g., faster time-to-insight, reduced data ops overhead, improved data quality)
• Translate technical trade-offs into business terms to help clients make informed decisions
• Support clients in aligning analytics architectures with KPIs, compliance requirements, and digital transformation goals
• Participate in sales support activities such as technical scoping, RFP responses, demos, and solution architecture documentation
• Act as a mentor to consultants and data engineers, ensuring best practices are followed throughout implementation

Preferred Qualifications

• Master’s degree in a technical or data-focused discipline
• Certifications in AWS, Azure, or GCP (architect or data engineering tracks)
• Experience aligning analytics initiatives with business strategies like digital transformation, customer 360, or operational optimization
• Exposure to MLOps and integration of ML models into data pipelines