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Engineering Lead/Azure Solution Architect

00068967661

Senior Azure Solution Architect/Engineering Lead

Core Skills: Azure Databricks, PySpark, Spark, SQL, Azure Synapse, Kafka, Big Data, Python, Java, Azure Data Factory (ADF)

Professional Summary

Senior Data Architect with 15+ years of experience designing, building, and scaling enterprise-grade data platforms. Proven expertise in cloud-native big data architectures on Azure, real-time and batch data processing, and high-performance analytics systems. Strong background in data modeling, distributed computing, and end-to-end data pipeline orchestration, with hands-on leadership in large-scale enterprise and mission-critical projects.

Technical Expertise

Cloud & Data Platforms

  • Azure Databricks (Lakehouse architecture, Delta Lake, Unity Catalog)
  • Azure Synapse Analytics (Dedicated & Serverless Pools)
  • Azure Data Factory (ADF) for ELT/ETL orchestration
  • Azure Data Lake Storage Gen2

Big Data & Distributed Processing

  • Apache Spark (Core, SQL, Structured Streaming)
  • PySpark performance tuning & optimization
  • Apache Kafka (real-time ingestion, streaming pipelines)
  • Large-scale batch and streaming data architectures

Programming & Query Languages

  • Python (advanced data engineering, automation, frameworks)
  • Java (Spark internals, Kafka consumers/producers, microservices)
  • SQL (complex analytics, query optimization, warehouse design)

Data Architecture & Design

  • Lakehouse, Lambda, and Kappa architectures
  • Dimensional modeling & data warehouse design
  • Data governance, security, and lineage
  • Scalability, fault tolerance, and cost optimization

· Technical depth in designing and building data platforms for high volume data processing with low latency

· Strong Expertise in Azure, Databricks, Python, Pyspark, SparkSQL, CI-CD (Jenkins, Github), Obs (Dynatrace),

· Good to have : Java, Kafka , Casandra, Microservices, API, Flink, ZeroMQ, Protocol Buffers

· Experience in recruiting , people leadership for managing team of 40+ , govern delivery and also act as technical mentor to set processes to bring innovation, goals to derive business outcomes

· Act as Module lead for India operations, liaise with NA teams to drive the objectives

Key Responsibilities & Achievements

  • Architected and delivered enterprise-scale Azure Lakehouse platforms supporting petabyte-scale data.
  • Designed real-time streaming solutions using Kafka and Spark Structured Streaming.
  • Led migration of on-premise data warehouses to Azure Synapse + Databricks, improving performance and reducing cost.
  • Built reusable PySpark frameworks for data ingestion, transformation, and validation.
  • Optimized Spark jobs through partitioning, caching, and memory tuning to achieve significant runtime improvements.
  • Implemented end-to-end ADF pipelines with CI/CD and parameter-driven orchestration.
  • Mentored senior and junior engineers; provided architectural guidance across multiple teams.
  • Collaborated with business stakeholders to translate analytics requirements into scalable technical designs.

Leadership & Soft Skills

  • Technical leadership and architectural decision-making
  • Cross-team collaboration and stakeholder communication
  • Design reviews, code quality standards, and best practices
  • Agile/Scrum execution in large enterprise environments

· Functional experience of capital markets, securities processing will be advantage

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.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Language requirements vary depending on roles, but 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.

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.

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.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include financial education, a pension plan with matching contributions, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

CAN Brigitte
Cognizant is great for those wanting to make the world a better place, as we create solutions with top technology partners to address complex problems for our clients.
Brigitte Roy Director of Strategy Alliances
CAN Rahul
I’m supported by motivational leaders who empower me to grow in my career through learning programs, industry conferences and internal job moves. I’m proud of the career progression I’m making here.
Rahul Sathe Principal Product Architect – Insurance
Can Amita
The moment I joined Cognizant, I felt like I belonged. I was heard and empowered to challenge ideas—and I still am to this day.
Dr. Amita Oppal Gill Service Line Sales Manager
1 (2)
Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.
Debashish Mishra SAP MM Developer

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