Solution Architect

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. You will directly collaborate with clients, assessing their needs, defining modern analytics solutions, and leading implementation across the data lifecycle. Technical excellence is crucial, as is articulating the business value and ROI of solutions. You will bridge the gap between IT and strategic business outcomes, mentoring consultants and data engineers. This position requires a Bachelor’s degree in a related technical discipline, 7+ years of experience in data and analytics (3+ years in a lead or architect role), and proven ability to design and implement complex analytics platforms. A background in consulting or professional services is essential.

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