Senior Databricks Solution Architect

We are seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform . The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions.

Key Responsibilities

Design and architect Databricks Lakehouse solutions for large-scaleenterprise data platforms.

Lead end-to-end Databricks implementation, including architecture, development, deployment, and optimization.

Define Databricks workspace architecture, clusterstrategies, security models, and operational standards.

Design and developscalable data pipelinesusing Databricks, Apache Spark, PySpark, SQL, andDelta Lake .

Implement data ingestionframeworks supporting batchand real-timedata processing.

Design Delta Lake architectures including:

Delta tables

Medallion architecture (Bronze/Silver/Gold layers)

Data quality frameworks

Schema evolution andoptimization

Perform Databricks performancetuning:

Cluster optimization

Spark job optimization

Query tuning

Cost optimization

Implement Databricks governanceand security using:

Unity Catalog

Access controls

Data lineage

Audit capabilities

Lead migration projectsfrom legacy dataplatforms to DatabricksLakehouse.

Define best practicesfor Databricks CI/CD, DevOps, andenvironment management.

Collaborate with dataengineers, data scientists, analysts, and enterprisearchitects.

Provide technical guidance, architecture documentation, and design reviews.

Skills & Experience

Strong experience in dataengineering, big data, or solution architecture.

Strong hands-onexperience with Databricks Platform .

Expert knowledge of:

Apache Spark

PySpark / Scala

Delta Lake

SQL

Data Lakehouse architecture

ETL/ELT development

Experience designing anddelivering enterprise Databrickssolutions.

Strong experience withcloud platforms:

Azure Databricks (preferred)

AWS Databricks

Google Cloud Databricks

Experience with:

Databricks Workflows

Jobs orchestration

Notebooks

Repos

Cluster management

Unity Catalog

Preferred Skills

Databricks Certified DataEngineer Professional /Databricks Certified Architect.

Experience with:

MLflow

Databricks Machine Learning

Feature Store

Model deployment

MLOps

Knowledge of streamingtechnologies:

Structured Streaming

Kafka

Experience with datagovernance, compliance,and enterprise securityframeworks.

Key Competencies

Strong Databricks architectureand implementation expertise.

Ability to designscalableand cost-efficientLakehouse solutions.

Strong troubleshooting andperformance optimizationskills.

Ability to leadtechnical discussions withenterprise stakeholders.

#J-18808-Ljbffr