Databricks Architect
Tiger Analytics Inc. Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Tiger Analytics Inc. Remote, United States · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build end-to-end Databricks solutions for ETL, streaming and machine learning workloads
- Set architecture guidance for Databricks adoption, including reusable designs and engineering practices
- Tune Spark jobs and data pipelines, investigate difficult issues and recommend performance improvements
- Develop and debug PySpark jobs and data models connected to AWS services such as S3, EMR and Lambda
- Apply data governance, security and access controls, including encryption and auditing
What you bring
- At least twelve years designing architectures and developing data engineering systems at large scale
- Hands-on Databricks architecture experience, including work to improve consumption and performance
- Experience with AWS, Hadoop environments, Unity Catalog migrations and Spark Streaming pipeline design
- Strong communication and leadership skills, with the ability to work independently
Who this fits
This remote U.S. role suits a senior data architect who can lead Databricks design while remaining hands-on with implementation and performance work. You’ll need to guide technical decisions and work independently.
From the employer
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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