Senior Solutions Architect – Data Engineering

Narwal is a high-growth global AI, Data, and Quality Engineering services and solutions company headquartered in Cincinnati, Ohio. They are seeking a highly experienced Data Solutions Architect to lead client-facing architecture, pre-sales solutioning, and technical design authority for their Data Practice.

Responsibilities:

• Lead client discovery workshops and technical discussions
• Translating business requirements into practical data solutions
• Build trusted advisor relationships with client stakeholders
• Present solutions to executive and technical audiences
• Partner with sales to shape deals and proposals
• Lead RFP/RFI responses, solution design, and estimation
• Develop POCs, demos, and reference architectures
• Improve win rates through strong technical positioning
• Provide architecture oversight during delivery
• Ensure alignment between design and execution
• Resolve technical escalations and design challenges
• Minimize rework through clear upfront architecture
• Own end-to-end data engineering project delivery across engagements
• Define scalable, secure, and cost-effective solutions
• Serve as the final authority on technical design decisions
• Work closely with Head of Data on execution & delivery
• Work closely with Head of AI on advanced analytics & AI integration
• Work closely with Sales team on pipeline and deal strategy
• Act as the single point of accountability for technical integrity
• Contribute to data practice strategy and growth
• Build reusable solution accelerators and frameworks
• Mentor teams on modern data architecture patterns
• Support expansion into AI, analytics, and platform engineering

Requirements:

• 12–15+ years in data engineering, architecture, or analytics
• 5+ years in solution architecture or consulting roles
• Strong experience in client-facing roles (consulting/services)
• Proven track record in presales and deal support
• Modern data platforms (e.g., Snowflake, Databricks, BigQuery)
• Cloud ecosystems (e.g., AWS, Azure, GCP)
• Data engineering (ETL/ELT, pipelines, orchestration)
• Data warehousing, data lakes and lakehouse architectures
• APIs, integrations, and real-time data processing
• Data governance, security, and compliance
• Strong executive communication and presentation skills
• Ability to simplify complex technical concepts
• High ownership and decision-making capability
• Experience working with global/offshore teams
• Strong problem-solving and critical thinking skills
• Experience in AI/ML integration with data platforms
• Background in consulting or professional services firms
• Exposure to multiple industries (finance, healthcare, retail, etc.)
• Experience building or scaling data practice