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Databricks Solution Architect

Exclusive opportunity

Onsite

Databricks Solution Architect

Tata Consultancy Services

Databricks Solution Architect

Skills

Google Cloud PlatformBig DataData EngineeringPythonDatabricksData AnalysisMachine LearningAIAWSPySparkHadoopCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Irving, TX, USA

Work mode:

Onsite

Published on:

25 August 2026

What they need


Databricks Solution Architect

Roles & Responsibilities

We are looking for a highly skilled and passionate Databricks Solution Architect to design end-to-end data solutions, define architecture patterns, guide implementation teams, ensure integration with enterprise systems, and promote best practices in data engineering and machine learning workflows. Lead proof-of-concept developments and evaluate new platform features, and ensure that security and compliance standards are met

Responsibilities

  • Work closely with Data Scientists, Business Team and Engineers to understand business requirements, translating those requirements into technical architectures, and ensuring the effective integration of Databricks with other enterprise systems.
  • Recommend best practices around data engineering, machine learning, and analytics workflows, as well as guiding teams in the adoption of efficient architecture patterns.
  • Define project scope, set technical direction, and troubleshoot complex problems.
  • Lead the development of proof-of-concept solutions, evaluate new platform features, and ensure that security and compliance standards are met.
  • Plan and execute Migration strategies to transition on prem data warehouse and Datalake into cloud based Databricks
  • Develop reusable frameworks for Data Engineering and Machine Learning Data Pipelines
  • Explore AI and Gen AI solutions for business requirements and provide solutions to adopt them.

Qualifications

  • Proven expertise in implementing Lakehouse and Delta Lake using Databricks.
  • Strong PySpark and Python experience
  • Databricks (AWS) Platform Architect Certification
  • Familiarity with ML Ops/LLM Ops and distributed systems.
  • Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.
  • Solid understanding of system design patterns, scalability, observability, and performance tuning.
  • Strong analytical and problem-solving skills.
  • Passion for exploring and building with emerging technologies.

Good To Have Skills

  • AWS EKS Experience, Dockers and Containers

Salary Range- $125,000-$140,000 a year

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