Databricks Lakehouse Architect for Enterprise Modernization

E-Solutions; Village of Tarrytown (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

E-Solutions in New York city is seeking an experienced Enterprise Data Architect to lead our Databricks Lakehouse initiatives on AWS. You will architect and govern end-to-end data pipelines, modernize legacy ETL workloads, and drive cloud transformation across large-scale data ecosystems.

The role requires strong skills in Delta Lake, Unity Catalog, PySpark, and data governance, with a focus on scalable, secure, and observable data platforms that support business analytics and AI workloads.

Qualifications

• Experience leading Databricks Lakehouse architecture on AWS.
• Proven track record in data platforms modernization and cloud transformation.
• Strong governance, security, and compliance practices.
• Experience with CI/CD, IaC, and DevOps.

Responsibilities

• Lead enterprise-scale Databricks Lakehouse Architecture design and implementation on AWS.
• Drive large-scale data platform modernisation and cloud transformation initiatives.
• Lead migration of legacy EMR, NiFi, Redshift, and ETL workloads to Databricks.
• Design high-performance batch and real-time data processing solutions.
• Build robust ingestion frameworks using Auto Loader, Delta Lake, and Structured Streaming.
• Define enterprise data governance and security standards using Unity Catalog.
• Architect metadata-driven and reusable PySpark ETL/ELT frameworks.
• Establish best practices for performance tuning, scalability, and cost optimisation.
• Design and implement data quality, lineage, and observability frameworks.
• Drive adoption of CI/CD, DevOps, Infrastructure as Code, and automation practices.
• Collaborate with business, analytics, and engineering teams to define target-state architectures.
• Conduct architecture reviews and provide technical leadership across multiple projects.
• Mentor architects and senior engineers on Databricks and AWS best practices.
• Design secure and scalable solutions leveraging AWS services (S3, Glue, Athena, Lambda, IAM, Redshift).
• Implement and govern enterprise-wide data access, compliance, and security controls.
• Evaluate and adopt latest Databricks capabilities such as DLT, Lakehouse Federation, Serverless, and MLflow.
• Enable AI/ML, Generative AI, and advanced analytics use cases on the Lakehouse platform.
• Create architecture roadmaps, migration strategies, standards, and governance frameworks.
• Act as the primary technical advisor for customer leadership on data strategy and platform evolution.

Skills

Databricks Lakehouse Platform

Unity Catalog

Databricks Workflows

Auto Loader

PySpark

Spark SQL

Python

AWS

Data Governance

Security

CI/CD

GitHub

Jenkins

Delta Lake

Serverless Compute

Lakehouse Federation

MLflow

Tools

Databricks

Airflow

Lambda

Glue Catalog

Jenkins

Job description

E-Solutions in New York city is seeking an experienced Enterprise Data Architect to lead our Databricks Lakehouse initiatives on AWS. You will architect and govern end-to-end data pipelines, modernize legacy ETL workloads, and drive cloud transformation across large-scale data ecosystems.

The role requires strong skills in Delta Lake, Unity Catalog, PySpark, and data governance, with a focus on scalable, secure, and observable data platforms that support business analytics and AI workloads.