Senior Azure Databricks Data Engineer / Architect

Cognizant

Confirmed live today Low trust
Hybrid

Quick summary

Work type
Hybrid
Location
Irvine, CA
Salary
$100,000–$117,000 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $108k
$84k $247k
below market most similar roles pay here above market

This role pays less than 97% of similar roles. Most pay $152,243–$231,187 — the blue band above. At the midpoint, this role pays about $108k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · Senior Azure Databricks Data Engineer / Architect

The Sr. Azure Databricks Data Engineer / Architect joins the Data Engineering team to design and deliver scalable cloud-based data platform solutions for enterprise analytics and reporting. This role involves architecting end-to-end solutions, building and optimizing data pipelines, and managing Databricks environments including workspace security and cluster optimization. Key responsibilities include developing data models, SQL queries, and analytics solutions while implementing CI/CD best practices. The position requires hands-on expertise with Azure Databricks, PySpark, Azure Data Factory, Oracle Data Integrator, and SQL or PL/SQL for performance tuning. Candidates must demonstrate proficiency in Azure DevOps, version control, and data governance using Azure Key Vault. The work focuses on creating secure, high-performing data lakes and cloud-based analytics platforms to solve complex data integration and modernization problems.

What you'll do

  • Design and architect end-to-end data platform solutions using Azure Databricks and modern cloud technologies.
  • Build and optimize scalable data pipelines using Python and PySpark to ingest and transform large data volumes.
  • Configure and administer Databricks environments, including workspace management, security, and cluster optimization.
  • Develop and maintain data models, Databricks SQL queries, and analytics solutions for business intelligence.
  • Implement CI/CD pipelines and data platform best practices using Azure DevOps.
  • Ensure data quality, governance, performance, and operational reliability across all cloud-based analytics platforms.
  • Manage data security and access controls using services such as Azure Key Vault.

What we're looking for

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
  • Strong experience with Azure Databricks and PySpark in enterprise-scale data engineering environments.
  • Hands-on experience with Azure Data Factory (ADF) and cloud-based data integration solutions.
  • Experience working with Oracle Data Integrator (ODI) and relational database technologies.
  • Strong SQL and PL/SQL development skills with expertise in performance tuning and query optimization.
  • Experience designing and maintaining data lakes, data pipelines, and cloud-based analytics platforms on Microsoft Azure.
  • Proficiency with Azure DevOps, version control, CI/CD methodologies, and automated deployment practices.
  • Experience implementing data governance, security controls, and access management using services such as Azure Key Vault.

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