> Markdown version of [/jobs/ext/4561568-senior-solutions-architect](https://www.wearedevelopers.com/jobs/ext/4561568-senior-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solutions Architect - **Company:** Databricks - **Location:** Denver, CO, United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $248,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Nvidia CUDA, Information Engineering, Data Governance, Software Debugging, Distributed Data Store, Python (Programming Language), Cloud Services, Software Deployment, SQL Databases, SQL Server Analysis Services, Data Streaming, Systems Architecture, Snowflake, Data Strategy, Event Driven Architecture, Information Technology, Data Analytics, Data Management, Azure Synapse Analytics, Stream Analytics, Databricks - **Published:** November 4, 2026 - **Apply:** https://www.builtincolorado.com/job/solutions-architect-telco/12048249?handler=ApplyRedirect ## About the Role * 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role * Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills * Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms * Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) * Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis * Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations * Track record of driving platform adoption and consumption growth within accounts * Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences * Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: * Databricks certifications (Data Engineer, ML, Platform) * Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against * Background in a data/AI company or cloud provider * Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) ## Description Lead technical strategy for customer accounts, from discovery through production deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, and real-time analytics. Advise senior customer architects and engineering leaders, lead architecture discussions, build custom demonstrations, coordinate cross-functional resources, and influence product direction. The role requires strong Python and SQL coding, distributed data systems expertise, public-cloud deployment experience, and the ability to translate technical architectures into business value. The summary above was generated by AI FEQ128R27 As a Solutions Architect, you will lead the technical strategy for your customers - owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have * Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth * Lead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics * Serve as a trusted technical advisor to customer architects, engineering leads, and Directors * Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions * Develop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain * Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs * Influence product direction by providing structured feedback on customer requirements and competitive gaps, Designs and delivers large-scale AI and HPC GPU cloud infrastructure for NVIDIA Cloud Partners in the telecommunications sector. Serves as the primary technical advisor across solution design, development, integration, deployment, and production. Builds proofs of concept, integrates AI software stacks and models, leads customer technical engagements, delivers workshops and reference architectures, and partners with engineering, product, sales, and business teams. The role requires expertise in deep learning, LLMs, distributed cloud architectures, GPU technologies, MLOps, and customer-facing solution engineering, with up to 40% travel. Top Skills: Ai BenchmarkingAWSBase Command ManagerDcgmDeep LearningDistributed Cloud ArchitecturesGenerative AiGoogle Cloud PlatformGpu Cloud InfrastructureHybrid Cloud InfrastructureKubernetesLarge Language ModelsLoad BalancingMachine LearningAzureMission ControlMlopsModel Fine-TuningNcclNemo RetrieverNvidia Cuda-XNvidia DynamoNvidia GpusNvidia Nemo FrameworkNvidia NemotronNvidia Triton Inference ServerPythonPyTorchSlurmTensorFlowTensorrtTensorrt-LlmUfm MetLife Director, Group Benefits Data Strategy 4 Hours Ago Remote or Hybrid United States 125K-170K Annually Senior level 125K-170K Annually Senior level Fintech * Information Technology * Insurance * Financial Services * Big Data Analytics Leads data strategy for MetLife's Group Benefits business by connecting business and Data & Analytics teams, establishing shared definitions, resolving ownership gaps, and improving governance and quality. The role leads Data Councils, supports Agile Release Trains, removes data-related blockers, and strengthens data foundations for decision-making, service delivery, analytics, and AI initiatives. Top Skills: Agile Release Trains (Arts)AIAnalyticsData GovernanceData Quality MetLife, Performs daily accounting functions supporting incoming and outgoing funds, including wire processing, disbursements, misdirected money, suspense reconciliations, and cash reconciliations. Analyzes financial transactions, maintains general ledger accounts, investigates discrepancies, resolves reconciliation exceptions, and improves accounting processes, controls, and compliance. Partners collaboratively across teams to ensure accurate financial records and reliable customer and business fund operations.