Databricks Solution Architect (Remote)

Job Title : Databricks Solution Architect

Experience : 10+ years

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.

About The Role

Senior / Expert Databricks Solutions Architect — Job Description

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.

What You'll Do (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.

What You'll Bring (Required Qualifications)

Preferred Qualifications

About You (soft Skills And Capabilities)

Skills Required

S3, Blob, BigQuery, Scala, Kafka, Emr, Redshift, Apache Airflow, Synapse, Gcp, dbt, Spark, gcs , Databricks, Azure, Python, Aws