(US)Databricks Solution Architect

Job Title : Databricks Solution Architect

Experience : 10+ years

Location - US

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

Role

Senior / Expert Databricks Solutions Architect — Job Description

About the role

We are seeking a highly experienced Solutions Architect to lead the design and delivery of end-to-end data and analytics solutions on the Databricks platform. You will translate complex business needs into scalable, secure, and cost-efficient data lakehouse architectures, collaborate with cross-functional teams, and guide customers from concept through implementation and adoption.

Responsibilities

• Engage with business stakeholders to understand goals, data sources, and analytic use cases; translate into a holistic Databricks-based solution.
• Design scalable data lakehouse architectures on Databricks (Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables) that support data ingestion, cleansing, modeling, governance, security, and analytics.
• Lead technical architecture decisions and produce high-quality artifacts (reference architectures, solution blueprints, data models, data governance models, and integration plans).
• Architect data pipelines end-to-end (ingestion, transformation, storage, cataloging) with best practices for reliability, observability, and cost optimization.
• Enable data science and ML workflows on Databricks (MLflow, feature store, notebooks, Automated ML) and design end-to-end MLOps strategies.
• Ensure data governance, security, and compliance (IAM, encryption, Unity Catalog, data masking, lineage, access controls).
• Collaborate closely with data engineers, data scientists, software engineers, and DevOps to deliver production-ready solutions; implement CI / CD for data and ML pipelines.
• Lead customer-facing activities : workshops, solution demos, proofs of concept, and responses to RFPs / RFIs; provide strategic guidance on platform adoption and ROI.
• Mentor and coach junior architects and engineers; develop training materials and run knowledge-sharing sessions.
• Monitor performance, optimize SQL and Spark workloads, manage cluster configurations, and drive cost / performance improvements.

Required qualifications

Preferred qualifications

About you (soft skills and capabilities)

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