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Databricks Architect

Nityo Infotech Corporation

Tarrytown, New York • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Databricks Architect - Onsite

Emergere Technologies

Charlotte, North Carolina • Today

Easy Apply

Full-time

Depends on Experience

Databricks Architect

Thinking Minds Inc.

Raleigh, North Carolina • Today

Full-time

Pricing AI Solution Architect

Booz Allen Hamilton

Hybrid in McLean, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Lead Databricks Application Architect/Full Stack Developer

CGI

Dallas, Texas • Today

Full-time

USD 100,800.00 - 245,500.00 per year

Senior Manager Enterprise AI Orchestration Architect

Booz Allen Hamilton

Hybrid in McLean, Virginia • Today

Full-time

USD 162,800.00 - 303,000.00 per year

Databricks Architect

Thinking Minds Inc.

Raleigh, North Carolina • Today

Full-time

Senior Manager AI Data & Knowledge Architect

Booz Allen Hamilton

Hybrid in McLean, Virginia • Today

Full-time

USD 142,900.00 - 266,000.00 per year

Databricks Solution Architect (Data & AI)

EPAM Systems

Remote • Today

Full-time

Databricks Solution Architect (Data & AI)

EPAM Systems

Remote or New York, New York • Today

Full-time

Artificial Intelligence Solutions Architect

Booz Allen Hamilton

McLean, Virginia • Today

Full-time

USD 69,400.00 - 158,000.00 per year

AI/ML Solutions Architect

Redhorse Corporation

Remote • Today

Full-time

AI & Data Architect (Databricks | Lakehouse | AI)

RADcube

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Data Engineer/Architect with AI Agent Automation Engineer (Databricks)

Prohires

Hybrid in Austin, Texas • 7d ago

Easy Apply

Contract

$60 - $70

AI Product Architect

Kforce Technology Staffing

Remote or Tampa, Florida • Today

Contract

$65 - $80 hourly

Lead Databricks Application Architect/Full Stack Developer

VLink Inc

Dallas, Texas • Today

Easy Apply

Contract

Databrick Architect

Nityo Infotech Corporation

Tarrytown, New York • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Databricks Solutions Architect

International Millennium Consultants, Inc. (IMC)

Remote • Today

Easy Apply

Contract

Depends on Experience

Databricks Engineer / Architect

Emergere Technologies

Charlotte, North Carolina • Today

Easy Apply

Full-time

Depends on Experience

Databricks Architect - Tarrytown, NY [Hybrid]

OMG Technologies

Hybrid in Tarrytown, New York • Today

Easy Apply

Contract

Depends on Experience

Databricks Architect with HR Domain

Reliable Software Resources

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior Databricks Architect with MS Fabric

TekShapers

Hybrid in New York, New York • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Databricks Architect

Intellisoft Technologies

Indianapolis, Indiana • 22d ago

Easy Apply

Contract

80 - 85

Azure Databricks Architect - Fulltime

Acunor Infotech

New Jersey • Today

Easy Apply

Full-time

Principal Data Architect AWS Databricks Lakehouse

ConnectedX, Inc.

Plano, Texas • Today

Easy Apply

Contract, Third Party

Depends on Experience

Solution Architect - Databricks

Centraprise Corp

Remote • 2d ago

Easy Apply

Full-time

150,000 - 180,000

Data and AI Solution Architect

EPAM Systems

Remote • Today

Full-time

Data & Analytics Solutions Architect — Azure, Databricks & Genie

Apar Technologies

New York, New York • 2d ago

Easy Apply

Full-time

Depends on Experience

Senior Databricks Solution Architect

Neurolynx Global inc

Hybrid in Dallas, Texas • 2d ago

Easy Apply

Full-time

Depends on Experience

Databricks Data Developer/Architect local to NY/NJ

Serenity Info Tech, Inc.

New York, New York • Today

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

Databricks Architect
AWS
Apache
Delta lake

Summary

Role : Databricks Architect

Location : Tarrytown New York (Onsite)

Evaluate and drive adoption of new Databricks capabilities, including Lakebase, 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.

Key Responsibilities & Skills

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.

Mandatory Technical Skills

Databricks Lakehouse Platform
Delta Lake, Delta Live Tables (DLT)
Unity Catalog
Databricks Workflows
Auto Loader
PySpark, Spark SQL, Python
AWS (S3, IAM, Glue, Redshift, EMR, Lambda)
Apache Airflow
CDC & Data Migration Frameworks
Data Governance & Security
CI/CD, GitHub, Jenkins

JD:

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.
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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10200946b
Position Id: 9127594
Posted 1 day ago

Fitment

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Sapna More

Recruiter @ Nityo Infotech Corporation

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Evaluate and drive adoption of new Databricks capabilities, including Lakebase, 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.Key Responsibilities & Skills Lead enterprise-scale data platform modernization initiatives, driving migration fr

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Job Details: Position: Databricks Architect Location: Tarrytown, NY Work Arrangement: Hybrid 3 days onsite per week Contract Duration: 1 yearRole SummaryWe are looking for a strong Databricks Architect to lead enterprise-scale Lakehouse architecture and implementation on AWS. The role involves designing scalable data solutions, modernizing existing data platforms, establishing governance standards, and leading architecture discussions with customers.Key ResponsibilitiesLead enterprise-scale Dat

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Databricks Data Architect 33 Liberty Street, New York, NY 10045 12 Months Note: Onsite position Responsibilities: Architect scalable data processing frameworks leveraging Databricks platform for analytical workloadsImplement cost-optimization strategies balancing compute resources, storage tiering, and cluster configurationsDevelop and maintain coding standards for PySpark/Python within Databricks notebooks ensuring maintainability and performanceDesign and architect ETL/ELT pipelines supporti

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New York, New York

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Databricks Data Decveloper/Architect Responsibilities Architect scalable data processing frameworks leveraging Databricks platform for analytical workloads Implement cost-optimization strategies balancing compute resources, storage tiering, and cluster configurations Develop and maintain coding standards for PySpark/Python within Databricks notebooks ensuring maintainability and performance Design and architect ETL/ELT pipelines supporting ingestion, transformation, and distribution of analy

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

Databricks Architect
AWS
Apache
Delta lake

Summary

Role : Databricks Architect

Location : Tarrytown New York (Onsite)

Evaluate and drive adoption of new Databricks capabilities, including Lakebase, 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.

Key Responsibilities & Skills

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.

Mandatory Technical Skills

Databricks Lakehouse Platform
Delta Lake, Delta Live Tables (DLT)
Unity Catalog
Databricks Workflows
Auto Loader
PySpark, Spark SQL, Python
AWS (S3, IAM, Glue, Redshift, EMR, Lambda)
Apache Airflow
CDC & Data Migration Frameworks
Data Governance & Security
CI/CD, GitHub, Jenkins

JD:

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.
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

Dice Id: 10200946b
Position Id: 9127594
Posted 1 day ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Sapna More

Recruiter @ Nityo Infotech Corporation

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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