13+ years of experience in data architecture and engineering.
Expertise in Databricks, Delta Lake, and AWS services.
Proven track record in enterprise-scale data platform modernization.
Strong knowledge of data governance, security, and compliance standards.
Experience with AI/ML capabilities and advanced analytics use cases.
Responsibilities
Lead the design and implementation of Databricks Lakehouse Architecture on AWS.
Drive modernization initiatives for large-scale data platforms.
Architect scalable Medallion Architecture data platforms.
Migrate legacy workloads to Databricks, ensuring seamless transitions.
Design high-performance data processing solutions for batch and real-time.
Establish best practices for data governance and security using Unity Catalog.
Mentor teams on Databricks and AWS best practices.
Benefits
Competitive salary and benefits package.
Culture focused on talent development with growth opportunities.
Opportunity to work with cutting-edge technologies.
Employee engagement initiatives like flexible work hours.
Annual health check-ups and comprehensive insurance coverage.
Full Job Description
Job Description
About Position:
We are seeking a highly experienced Databrick Architect to Evaluate and drive adoption of new Databricks capabilities, including Lake base, Databricks Apps, Lakehouse Federation, Serverless, Genie and AI/ML capabilities. Conduct architecture reviews, define reusable patterns and provide technical governance across projects. Partner with business, engineering, and architecture teams to define target-state architectures and modernization roadmaps.
Role: Databrick Architect
Location: Tarrytown New York
Experience: 13+ Years
Job Type: FTE /Contract
What You'll Do:
Lead enterprise-scale Databricks Lakehouse Architecture design and implementation on AWS.
Drive large-scale data platform modernisation and cloud transformation initiatives.
Architect scalable Medallion Architecture (Bronze, Silver, Gold) data platforms.
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-based 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.
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.
Expertise You'll Bring:
Lead enterprise-scale data platform modernization initiatives, driving migration from AWS EMR, Apache NiFi, and legacy ETL frameworks to the Databricks Lakehouse Platform.
Architect and implement scalable Lakehouse solutions using Databricks, Delta Lake, Unity Catalog, and Databricks Workflows.
Design and govern end-to-end data pipelines for batch, streaming, CDC, and real-time data integration workloads.
Provide architecture leadership for large-scale AWS-based data ecosystems leveraging S3, IAM, Redshift, Glue Catalog, Airflow, and Databricks.
Develop enterprise data architecture standards covering data modelling, metadata management, lineage, governance, security, and compliance.
Drive adoption of Databricks best practices including Delta Live Tables (DLT), Auto Loader, Unity Catalog, Serverless Compute, Lakehouse Federation, and advanced optimization techniques.
Lead replatforming and migration programmes involving PySpark applications, Airflow DAGs, EMR workloads, Redshift integrations, and NiFi pipelines.
Partner closely with business stakeholders, enterprise architects, product owners, and data science teams to define technology roadmaps and target architectures.
Establish governance frameworks using Unity Catalog, data quality controls, observability, monitoring, and operational excellence practices
Provide technical leadership, mentoring, architecture reviews, design governance, and solution sign-offs across multiple delivery teams.
Lead architecture workshops, executive presentations, solution assessments, and technology evaluations.
Benefits:
Competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
We support hybrid work and flexible hours to fit diverse lifestyles.
Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let's unleash your full potential at Persistent - persistent.com/careers