IN-Senior ManagerLead Data ArchitectData AnalyticsAdvisoryGurgaon
IN-Senior ManagerLead Data ArchitectData AnalyticsAdvisoryGurgaon
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data AnalyticsManagement Level
Senior ManagerJob Description & Summary
At PwC our people in business application consulting specialise in consulting services for a variety of business applications helping clients optimise operational efficiency. These individuals analyse client needs implement software solutions and provide training and support for seamless integration and utilisation of business applications enabling clients to achieve their strategic objectives.As a business application consulting generalist at PwC you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis implementation training and support.
*Why PWC
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary: We are seeking an experienced Lead Data Architects to lead the design and development of our data architecture leveraging cloudbased technologies big data processing frameworks and DevOps practices. The ideal candidate will have a strong background in data warehousing data pipelines performance optimization and collaboration with DevOps teams.
Responsibilities:
1. Design and implement endtoend data pipelines using cloudbased services (AWS/ GCP/Azure) and conventional data processing frameworks.
2. Lead the development of data architecture ensuring scalability security and performance.
3. Collaborate with crossfunctional teams including DevOps to design and implement data lakes data warehouses and data ingestion/extraction processes.
4. Develop and optimize data processing workflows using PySpark Kafka and other big data processing frameworks.
5. Ensure data quality integrity and security across all data pipelines and architectures.
6. Provide technical leadership and guidance to junior team members.
7. Design and implement data load strategies data partitioning and data storage solutions.
8. Collaborate with stakeholders to understand business requirements and develop data solutions to meet those needs.
9. Work closely with DevOps team to ensure seamless integration of data pipelines with overall system architecture.
10. Participate in design and implementation of CI/CD pipelines for data workflows.
DevOps Requirements:
1. Knowledge of DevOps practices and tools such as Jenkins GitLab CI/CD or Apache Airflow.
2. Experience with containerization using Docker.
3. Understanding of infrastructure as code (IaC) concepts using tools like Terraform or AWS CloudFormation.
4. Familiarity with monitoring and logging tools such as Prometheus Grafana or ELK Stack.
Requirements:
1. 810 years of experience for Lead Data Architect in data architecture data warehousing and big data processing.
2. Strong expertise in cloudbased technologies (AWS/ GCP/ Azure) and data processing frameworks (PySpark Kafka Flink Beam etc..
3. Experience with data ingestion data extraction data warehousing and data lakes.
4. Strong understanding of performance optimization data partitioning and data storage solutions.
5. Excellent leadership and communication skills.
6. Experience with NoSQL databases is a plus.
Mandatory skill sets:
1. Experience with agile development methodologies.
2. Certification in cloudbased technologies (AWS / GCP/ Azure) or data processing frameworks.
3. Experience with data governance data quality and data security.
Preferred skill sets:
Knowledge of AgenticAI and GenAI is added advantage
Years of experience required:
8 to 12 years
Education qualification:
Graduate Engineer or Management Graduate
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Good Clinical Practice (GCP)Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Reasoning Analytical Thinking Application Software Business Data Analytics Business Management Business Technology Business Transformation Coaching and Feedback Communication Creativity Documentation Development Embracing Change Emotional Regulation Empathy Implementation Research Implementation Support Implementing Technology Inclusion Influence Intellectual Curiosity Learning Agility Optimism 24 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior Manager
Employment Type
Full-Time
