Tiger Analytics

Delivers Data and AI transformation

Databricks Architect

Data EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

At least 12 years of experience in architecture, design, and data engineering development of large-scale data ecosystems.
Experience designing and architecting scalable and secure Databricks platform solutions while optimizing performance, cost, and reliability.
Hands-on experience as a Databricks/DataOps architect, including reducing consumption, resolving performance issues, and building monitoring tools.
Good exposure to AWS.
Experience with performance initiatives, identifying tuning opportunities, and creating performance environments.
Experience with a Hadoop environment.
Knowledge of the Databricks platform, exposure to Unity Catalog migration implementation, and exposure to Spark Streaming pipeline design.
Strong communication and leadership skills, and the ability to work independently.

Responsibilities

Design and implement scalable, end-to-end data solutions for ETL, real-time streaming, and machine learning workloads on the Databricks platform.
Provide technical leadership and strategic guidance on Databricks adoption, including developing reference architectures and best practices.
Tune Spark jobs, optimize data pipelines, and resolve complex technical issues to ensure optimal performance.
Architect, develop, and debug PySpark jobs and data models, integrating Databricks with cloud services such as AWS S3, EMR, and Lambda.
Implement and enforce data governance, security, and access control policies, including encryption and auditing, in the Databricks environment.

Databricks Architect

Tiger Analytics Inc. · United States (Remote) · Full-time · Posted 2026-04-17

Workplace: remote

Department: Data Engineering

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 have a passion for tackling business challenges through the use of both structured and unstructured data at scale, Tiger Analytics wants to connect with you. We are looking for a skilled and proactive Databricks Architect to take a pivotal role in designing and deploying resilient data solutions that address our clients' complex business issues.

Responsibilities

Design and implement scalable, end-to-end data solutions for ETL, real-time streaming, and machine learning workloads on the Databricks platform
Provide technical leadership and strategic guidance on Databricks adoption, including developing reference architectures and best practices.
Ensure optimal performance by tuning Spark jobs, optimizing data pipelines, and resolving complex technical issues.
Architect, develop, and debug PySpark jobs and data models, integrating Databricks with cloud services such as AWS S3, EMR, and Lambda
Implement and enforce data governance, security, and access control policies (e.g., encryption, auditing) on the Databricks environment

Requirements

12+ years of experience in Architecture, design and data engineering development of large-scale data ecosystems.
Databricks Design and Architecture: Design and architect scalable and secure Databricks solutions platform, optimizing performance, cost, and reliability.
Hands on Databricks/Dataops Architect that can help reduce consumption, and improve performance issues. Can help build monitoring tools.
Good exposure to AWS. Strong comm and leadership skills and Self driven and work independently.
Experience in Performance initiatives and drive recommendations (identify tuning opportunities, creation of performance environment etc.
Experience with hadoop environment.
Core Skills:- Databricks platform knowledge, Unity Catalog migration implementation exposure, Spark Streaming pipeline design exposure

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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About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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