– Practice Head Data & Analytics

Experience: 20+ Years

Role: Practice Head – Data Engineering & Analytics

Role Overview

We are looking for an experienced Data & Analytics Practice Head to lead and scale the organization's Data Engineering and Analytics practice. The role requires a strategic technology leader with deep expertise in cloud-based data platforms, big data technologies, modern data architectures and enterprise analytics solutions.

The individual will be responsible for providing technology advisory, thought leadership and strategic direction across multiple competencies within Data Engineering and Analytics. This includes driving technology innovation, developing service offerings, leading pre-sales and solution architecture, and overseeing end-to-end project delivery.

The role will involve working closely with customers and internal stakeholders to understand business requirements, design scalable data solutions and establish technology roadmaps aligned with evolving business needs.

Key Responsibilities

1. Practice & Technology Leadership

- Lead and manage multiple competencies within the Data Engineering and Analytics practice.
- Define technology vision, strategic roadmaps and service offerings aligned with emerging industry trends.
- Drive technology innovation and identify next-generation solutions across cloud, big data and analytics ecosystems.
- Provide technical thought leadership and advisory to customers and internal teams.
- Mentor and develop competency teams, building technical capabilities and best practices across the practice.

2. Pre-Sales & Solution Architecture

- Lead end-to-end pre-sales activities, including responding to client RFPs, RFIs and developing comprehensive technical proposals.




- Understand customer business requirements and translate them into scalable technical solutions.
- Design cloud-native data architectures and enterprise analytics solutions.
- Develop solution approaches, technical roadmaps, Statements of Work (SoWs), effort estimations and cost models.
- Lead customer presentations, solution demonstrations and technical discussions.

3. Data Engineering & Analytics Delivery

- Oversee the design, development and implementation of scalable data engineering and analytics solutions.
- Provide technical oversight across projects, ensuring quality, performance, scalability and successful delivery.
- Drive best practices in coding standards, architecture reviews, code reviews and engineering excellence.
- Identify technical risks, define mitigation strategies and provide guidance to project teams.
- Ensure effective implementation of data security, privacy, governance, metadata management and workload management practices.

4. Client & Stakeholder Management

- Act as a trusted technology advisor to clients, providing consulting and architectural guidance.
- Lead client engagements, analyst briefings and strategic technology presentations.
- Collaborate with business, delivery and technology teams to drive successful project outcomes.
- Manage multiple priorities and adapt to evolving business and customer requirements.





Required Skills & Experience

- 15–20 years of overall experience in Data Engineering, Data Warehousing, Big Data and Analytics, with at least 5 years of experience in cloud-based data platforms and services.
- Strong expertise in one or more major cloud ecosystems – AWS, Microsoft Azure or Google Cloud Platform (GCP) .
- Extensive experience in Big Data technologies, including Hadoop, HDFS, Spark, MapReduce, Hive, HBase, Sqoop, Pig, Flume and Kafka.
- Valuable understanding of NoSQL databases such as MongoDB, Cassandra and HBase.
- Proficiency in programming languages such as Java, Python and Scala.
- Experience with ETL and data integration platforms such as Informatica, Talend, Ab Initio and Pentaho.
- Exposure to data visualization and business intelligence tools such as Tableau, Power BI and Oracle Analytics Cloud.
- Strong understanding of modern data architectures, cloud-native data services, data governance, data security and data management frameworks.
- Proven experience in technical solutioning, architecture design, pre-sales, RFP/RFI responses and effort estimation.
- Demonstrated experience in leading large-scale technology initiatives and managing Agile/project delivery environments.

Desired Leadership Competencies

- Strong strategic thinking, analytical and consulting capabilities.
- Excellent client-facing, stakeholder management and presentation skills.
- Ability to independently lead customer discussions and articulate complex technical solutions.
- Proven ability to build, mentor and lead high-performing technical teams.
- Strong business acumen with the ability to translate technology capabilities into business value.

📌 Practice Head Data & Analytics (Bengaluru)
🏢 Spot Your Leaders u0026 Consulting
📍 Bengaluru