IN-Senior Manager Lead Data Architect Data & Analytics Advisory Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics

Management Level

Senior Manager

Job 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, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

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 firm’s 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 cloud-based 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 end-to-end data pipelines using cloud-based services (AWS/ GCP/Azure) and conventional data processing frameworks.
2. Lead the development of data architecture, ensuring scalability, security, and performance.
3. Collaborate with cross-functional 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. 8-10 years of experience for Lead Data Architect in data architecture, data warehousing, and big data processing.
2. Strong expertise in cloud-based 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 cloud-based 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 Engineering

Degrees/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 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date