Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Director

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*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. "

Responsibilities:

1.Tech Director (Sr. Architect Data Engineer, Pyspark/Spark/Databricks/Hadoop)
2.Location: Bangalore
3.Type: Full Time
4.Experience: 16+ Years
5.About the Role:
6.We are seeking a highly experienced and motivated Tech Director to lead our data engineering team and spearhead the architecture, development, and implementation of our next-generation data platform, with a strong emphasis on Databricks and the Hadoop ecosystem. The ideal candidate is a proven technical leader with a deep understanding of big data technologies, distributed systems, and a passion for building scalable, high-performance data pipelines.
7.Key Responsibilities:
8.Leadership & Strategy:
9.Hire, lead and mentor a team of data engineers, providing technical guidance and fostering a culture of innovation and collaboration.
10.Define the strategic vision and roadmap for the data platform, aligning with business objectives and industry best practices.
11.Stay abreast of emerging technologies and trends in the big data and distributed computing landscape.
12.Build POVs around modern Data platforms.
13.Guide team to build accelerators/prototypes.
14.Architecture & Design:
15.Architect and design end-to-end data solutions leveraging Spark/Databricks as the core processing engine and integrating with the Hadoop ecosystem.
16.Design and implement highly scalable and performant data pipelines for ingestion, transformation, and analysis of large datasets.
17.Establish and enforce data governance policies, ensuring data quality, integrity, and security.
18.Technical Expertise & Execution:
19.Possess expert-level knowledge of Databricks, including Spark, Delta Lake, and related technologies (PySpark, Spark SQL).
20.Deep understanding of Hadoop ecosystem components like HDFS, YARN, Hive, and HBase.
21.Experience migrating and transforming data from legacy systems (e.g., Oracle) to the Hadoop ecosystem.
22.Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes.
23.Hands-on experience with infrastructure-as-code tools (e.g., Terraform) and CI/CD pipelines.
24.Basic understanding of Data quality and Data governance aspects.
25.Understanding of some of the cloud native Data and analytics services on Azure, GCP or AWS would be a plus.
26.Collaboration & Communication:
27.Collaborate effectively with stakeholders across various business units to understand data requirements and translate them into technical solutions.
28.Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.
29.Foster strong relationships with key vendors and partners in the data and big data space.
30.Required Skills:
31.16+ years of experience in software engineering, with a strong focus on data engineering and big data technologies.
32.Proven track record of leading and delivering large-scale data platform projects in a distributed environment.
33.Expert-level knowledge of Databricks, Spark, Delta Lake, and related technologies (PySpark, Spark SQL).
34.Deep understanding of Hadoop ecosystem components (HDFS, YARN, Hive, HBase).
35.Strong experience with data warehousing concepts, dimensional modeling, and ETL/ELT processes.
36.Experience with infrastructure-as-code tools (e.g., Terraform) and CI/CD pipelines.
37.Excellent communication, interpersonal, and leadership skills.
38.Preferred Qualifications:
39.Databricks Certified Professional Developer certification.
40.Cloudera Certified Professional (CCP) or Hortonworks Certified Professional (HDP) certification.
41.Experience with other big data technologies (e.g., Kafka, Flink) is a plus.

Mandatory skill sets:

- Pyspark/Spark/Databricks/Hadoop

Preferred skill sets:

- Pyspark/Spark/Databricks/Hadoop

Years of experience required:

15+

Education qualification:

BE/BTech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Apache Hadoop, Databricks Platform, PySpark

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 24 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date