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Remote Databricks Architect Jobs in New York (NOW HIRING)

Inizio Partners

Solution Architect - Reltio MDM

New York, NY · Remote

$69 - $90.75/hr

Remote US Employment Type: Full-Time Experience Level: Senior (8+ Years) About the Role We are ... Experience with Azure Data Factory, Microsoft Fabric, Databricks, or Snowflake. * Knowledge of data ...

Mondo

Data Engineer

Manhattan, NY · Remote

$70 - $80/hr

Remote (EST hours preferred) Duration: 4 Month Contract (through end of 2026) Pay Range: $70-80 ... Build and maintain dbt models as part of the new Databricks-based data architecture * Support Data ...

iShare, Inc.

Metadata Developer

Manhattan, NY · On-site +1

$115K/yr

... • Databricks Unity Catalog • SQL • Data Architecture • Insurance Data Domains (P&C) This is a remote position. Compensation: $115,000.00 per year About In the perfect storm of technology ...

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All JobsDatabricks Architect JobsRemote Databricks Architect JobsRemote Databricks Architect Jobs in New York

Remote Databricks Architect information

What is the difference between Remote Databricks Architect vs Remote Data Engineer?

AspectRemote Databricks ArchitectRemote Data Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding and maintaining data pipelines and infrastructure
Required SkillsDatabricks, Spark, cloud platforms, architecture designETL, SQL, Python, cloud data tools
CertificationsDatabricks certifications, cloud certificationsCloud certifications, SQL, Python skills
Work EnvironmentCollaborates with data teams, architects, and stakeholdersWorks on data pipeline development, data modeling

While both roles work within data environments and often in cloud settings, the Remote Databricks Architect focuses on designing scalable data solutions using Databricks, whereas the Remote Data Engineer primarily builds and maintains data pipelines and infrastructure. The architect role emphasizes architecture and strategy, while the data engineer role emphasizes implementation and operational tasks.

What are the most commonly searched types of Databricks Architect jobs in New York?

The most popular types of Databricks Architect jobs in New York are:

What are popular job titles related to Remote Databricks Architect jobs in New York?

For Remote Databricks Architect jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Architect jobs in New York look for?

The top searched job categories for Remote Databricks Architect jobs in New York are:

What cities in New York are hiring for Remote Databricks Architect jobs?

Cities in New York with the most Remote Databricks Architect job openings:

Remote Databricks Architect jobs near you
Infographic showing various Remote Databricks Architect job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 6% Part Time, 1% Temporary, and 7% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.

Principal Architect

Tiger Analytics Inc.

Jersey City, NJ • Remote

Full-time

Re-posted 16 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.

Responsibilities

  • Manage large-scale data analytics client engagements in a global delivery model
  • Work with business executives to understand business requirements and constraints for the success of the program.
  • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value.
  • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern
  • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions
  • Steer discussions in strategizing and implementing digital and cloud solutions.
  • Collaborating with business / IT stakeholders and product managers to ideate software

Requirements

  • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
  • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies
  • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data.
  • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks.
  • Implement Databricks on AWS, ensuring security, scalability, and performance.
  • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics.
  • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required.
  • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops
  • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines
  • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake
  • Deep understanding of Life Sciences to deliver domain-specific solutions that address industry challenges.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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