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Azure Databricks Senior Architect

Tiger Analytics Inc. Open · verified Oct 24, 2026
Remote Dallas Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Tiger Analytics Inc. Remote, United States · full-time · no salary stated · we estimate $142,500–$193,650 across the United States.

Estimated pay

Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.

$142,500 – $193,650
What the middle half of senior data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 470 postings that stated pay, median $162,500. Last updated Oct 24, 2026.
RoleData Engineering
SenioritySenior
LocationDallas
WorkplaceRemote
EmploymentFull-time
PostedJan 22, 2026 · 9mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Design and build data architectures on Azure, putting sound data practices into use
  • Create tools that prepare, extract and reshape data into connected datasets for analytics
  • Set up information lifecycle practices and guide data strategy, architecture and governance
  • Apply end-to-end data management principles across structured and unstructured data

What you bring

  • You have strong Databricks skills, a stated must-have for this role
  • You have extensive hands-on experience with Azure services such as Azure Functions, Cosmos DB or Stream Analytics
  • You bring BI and enterprise data warehousing experience alongside data strategy and governance knowledge
  • You communicate technical ideas clearly and work effectively with others

Who this fits

This senior architect role suits someone who can own Azure data architecture and implementation. It is a remote, full-time position based in Dallas.

From the employer

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

This role will be responsible for Architecture, Designing and implementing best data practices on the Azure platform.

Requirements

  • Strong proficiency in Databricks. (Must have)
  • Should have extensively worked on Azure Hub, Azure Device SDK, Azure Device provisioning services, Azure Device twins, Azure Functions, Data bricks, Cosmos DB, Azure Stream analytics.
  • Knowledgeable in tools used to identify and manage structured and unstructured data.
  • Must have BI, EDW, along with Data Strategy, Architecture and Governance
  • Defined and implemented information lifecycle management practices.
  • Strong background and working knowledge in end-to-end data management principles.
  • Strong background in developing and utilizing tools that prepare, extract and manipulate data to create connected datasets (data warehousing) that can be utilized for analytics purposes.
  • Strong communicator at the technical levels
  • Demonstrated teamwork skills.

Good to have-

  • Experience in architecting and building Azure IoT platforms/apps with good exposure to containerization and server less architecture.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, 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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data EngineeringRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.