Architect, KOLKATA, West Bengal, India

Job Summary

Serve as an architect for data and analytics solutions built on Databricks platforms designing scalable pipelines and frameworks that leverage Databricks SQL Databricks Workflows and PySpark. Apply extensive experience to optimize hybrid day shift delivery enable reliable insights for stakeholders and support innovation in insurance focused business environments.

Responsibilities

Design robust data architecture on Databricks platforms that aligns with enterprise standards and enables secure scalable analytics across hybrid work environments

Develop end to end data pipelines using PySpark and Databricks Workflows that transform complex raw data into curated datasets ready for business consumption

Optimize Databricks SQL queries and data models to improve performance reduce compute cost and ensure consistent response times for analytical workloads

Create reusable frameworks and patterns for ingestion transformation and data quality that can be adopted by engineering teams across multiple initiatives

Collaborate with product and business stakeholders to translate analytical and reporting needs into well defined data architecture and implementation plans

Integrate data from diverse source systems into unified models that support actuarial analysis financial reporting and operational monitoring for insurance focused solutions

Define standards for coding testing and documentation of PySpark jobs and Databricks assets to promote maintainability and long term platform resilience

Implement monitoring and alerting strategies on Databricks Workflows to ensure timely detection of pipeline failures and to support reliable data delivery in day shift operations

Partner with security and compliance teams to embed data governance privacy controls and audit readiness into all Databricks based solutions

Guide teams on efficient use of Databricks clusters storage and caching options to balance performance objectives with infrastructure cost management

Document architectural decisions data flows and dependency maps so that teams can easily understand solution design and support future enhancements

Coordinate with cross functional teams in a hybrid work model to plan releases manage dependencies and ensure smooth deployment of new data capabilities

Qualifications

Apply extensive experience in Databricks SQL to design analytical models reporting layers and interactive queries that support complex business insights

Leverage advanced proficiency in Databricks Workflows to orchestrate jobs manage dependencies and automate data operations with strong reliability

Utilize deep PySpark expertise to implement scalable transformations handle large data volumes and enforce data quality rules across the pipeline lifecycle

Draw on knowledge of life and annuities insurance to shape data models metrics and validations that reflect key policy claim and risk concepts when required

Demonstrate proven ability gained from twelve to sixteen years of experience in data engineering and architecture to handle complex enterprise grade solutions

Apply strong communication and collaboration capabilities to work effectively with business and technology partners in a hybrid non travel environment

Use experience with modern data platforms and cloud ecosystems to integrate Databricks solutions into broader enterprise architectures for long term value

Certifications Required

Preferred certifications include Databricks Certified Data Engineer Professional or Databricks Certified Data Engineer Associate.

Things to know before you apply

Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
Open position: Unless otherwise stated, this job posting is for an open position on our team.
Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
Inclusion: Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.

About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.