6,407 Data Leadership jobs in India

Job Summary

Role : AWS Data Architect- Leadership

Experience : 15 - 22 Years

We are seeking a highly skilled and experienced Technical Leader for our AWS Data Engineering practice. The ideal candidate will be responsible for driving Data Engineering strategy for the practice, architecting scalable enterprise level data solutions and driving the implementation of data projects on AWS. This role requires a deep understanding of AWS services and data engineering best practices.

In this role, you will be responsible for establishing and enhancing the company's Data Engineering Services Practice. You will work closely with senior stakeholders to understand business needs and deliver technical solutions. The role is well-suited for a technically proficient individual looking to thrive in a dynamic and fast-paced environment.

Responsibilities:

Technical Leadership:

● Act as a visionary leader capable of steering, motivating, and driving exceptional performance in data engagements.

● Conduct proof-of-concept projects to explore strategic opportunities and future-oriented data processing and integration capabilities, aiming to recommend scalable, flexible, and sustainable solutions that offer a high return on investment.

● Make informed architectural decisions with the customer's needs and priorities at the forefront.

● Guide and mentor engineers, actively participating in code reviews to ensure high standards of code quality.

● Collaborate closely with the sales/pre-sales/solution team to develop proposals and strategies that align with and meet the company's performance objectives.

● Partner with the marketing team to create collateral and assist recruitment teams in identifying and attracting the right talent to expand the practice.

● Design and implement data lakes, cloud data warehouses, master data management solutions, data models, and data quality assessments as part of the data engineering scope.

● Lead the development and management of data infrastructure, including tools, dashboards, queries, reports, and scripts, ensuring automation of recurring tasks while maintaining data quality and integrity

Architecture and Design:

● Design and architect scalable and robust data solutions using AWS services.

● Ensure data architecture aligns with business requirements and best practices.

● Evaluate and select appropriate AWS services for data storage, processing, and analytics.

Project Implementation:

● Oversee the implementation of data engineering projects from inception to completion.

● Engage in strategic discussions with customers and offer thought leadership to guide their decisions.

● Ensure data quality, integrity, and security throughout the data lifecycle.

Technical Innovation:

● Stay updated with the latest trends and advancements in data engineering and AWS technologies.

● Drive continuous improvement initiatives to enhance data engineering practices and processes.

● Experiment with new tools and technologies to improve data processing efficiency and effectiveness.

What is Required:

● Bachelor's or Master's degree in Engineering or Technology (B.E. / M.E. / B.Tech / M.Tech)

● 15+ years of technical hands-on experience in Data space.

● At least 4 end-to-end implementations of large-scale data projects

● Experience working on projects across multiple geographic regions

● Extensive experience with a variety of projects, including on-premises to AWS migration,modernization, greenfield implementations and cloud-to-cloud migrations.

● Proficiency with AWS data services such as AWS Glue, Redshift, S3, Athena, EMR, Lambda, and RDS.

● Strong understanding of AWS architecture and best practices for data engineering.

● Proficiency in managing AWS IAM roles, policies, and permissions.

● Proficient in SQL and Python for data processing and transformation.

● Strong understanding of data warehousing concepts, ETL/ELT processes, and data modeling.

● Experience with data integration from various sources including batch and real-time data streams.

● Familiarity with data serialization formats such as Avro, Parquet, and ORC.

● Expertise in optimizing data pipelines and query performance.

● Experience with monitoring and troubleshooting data pipelines.

● Proficiency in performance tuning and optimization of distributed computing environments.

● Experience with data governance frameworks and practices.

● Understanding of data lifecycle management and data retention policies.

● Ability to implement and manage data quality frameworks and processes.

● Hands-on experience with big data processing frameworks like Apache Spark, Hadoop, and Kafka.

● Knowledge of stream processing technologies and frameworks.

● Experience with data visualization tools such as PowerBI or Tableau.

What’s in it for you?

The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain.

The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation.

The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. Flexible working options available to foster productivity and work/life balance.

Job Summary

Role : AWS Data Architect- Leadership

Experience : 15 - 22 Years

We are seeking a highly skilled and experienced Technical Leader for our AWS Data Engineering practice. The ideal candidate will be responsible for driving Data Engineering strategy for the practice, architecting scalable enterprise level data solutions and driving the implementation of data projects on AWS. This role requires a deep understanding of AWS services and data engineering best practices.

In this role, you will be responsible for establishing and enhancing the company's Data Engineering Services Practice. You will work closely with senior stakeholders to understand business needs and deliver technical solutions. The role is well-suited for a technically proficient individual looking to thrive in a dynamic and fast-paced environment.

Responsibilities:

Technical Leadership:

● Act as a visionary leader capable of steering, motivating, and driving exceptional performance in data engagements.

● Conduct proof-of-concept projects to explore strategic opportunities and future-oriented data processing and integration capabilities, aiming to recommend scalable, flexible, and sustainable solutions that offer a high return on investment.

● Make informed architectural decisions with the customer's needs and priorities at the forefront.

● Guide and mentor engineers, actively participating in code reviews to ensure high standards of code quality.

● Collaborate closely with the sales/pre-sales/solution team to develop proposals and strategies that align with and meet the company's performance objectives.

● Partner with the marketing team to create collateral and assist recruitment teams in identifying and attracting the right talent to expand the practice.

● Design and implement data lakes, cloud data warehouses, master data management solutions, data models, and data quality assessments as part of the data engineering scope.

● Lead the development and management of data infrastructure, including tools, dashboards, queries, reports, and scripts, ensuring automation of recurring tasks while maintaining data quality and integrity

Architecture and Design:

● Design and architect scalable and robust data solutions using AWS services.

● Ensure data architecture aligns with business requirements and best practices.

● Evaluate and select appropriate AWS services for data storage, processing, and analytics.

Project Implementation:

● Oversee the implementation of data engineering projects from inception to completion.

● Engage in strategic discussions with customers and offer thought leadership to guide their decisions.

● Ensure data quality, integrity, and security throughout the data lifecycle.

Technical Innovation:

● Stay updated with the latest trends and advancements in data engineering and AWS technologies.

● Drive continuous improvement initiatives to enhance data engineering practices and processes.

● Experiment with new tools and technologies to improve data processing efficiency and effectiveness.

What is Required:

● Bachelor's or Master's degree in Engineering or Technology (B.E. / M.E. / B.Tech / M.Tech)

● 15+ years of technical hands-on experience in Data space.

● At least 4 end-to-end implementations of large-scale data projects

● Experience working on projects across multiple geographic regions

● Extensive experience with a variety of projects, including on-premises to AWS migration,modernization, greenfield implementations and cloud-to-cloud migrations.

● Proficiency with AWS data services such as AWS Glue, Redshift, S3, Athena, EMR, Lambda, and RDS.

● Strong understanding of AWS architecture and best practices for data engineering.

● Proficiency in managing AWS IAM roles, policies, and permissions.

● Proficient in SQL and Python for data processing and transformation.

● Strong understanding of data warehousing concepts, ETL/ELT processes, and data modeling.

● Experience with data integration from various sources including batch and real-time data streams.

● Familiarity with data serialization formats such as Avro, Parquet, and ORC.

● Expertise in optimizing data pipelines and query performance.

● Experience with monitoring and troubleshooting data pipelines.

● Proficiency in performance tuning and optimization of distributed computing environments.

● Experience with data governance frameworks and practices.

● Understanding of data lifecycle management and data retention policies.

● Ability to implement and manage data quality frameworks and processes.

● Hands-on experience with big data processing frameworks like Apache Spark, Hadoop, and Kafka.

● Knowledge of stream processing technologies and frameworks.

● Experience with data visualization tools such as PowerBI or Tableau.

What’s in it for you?

The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain.

The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation.

The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. Flexible working options available to foster productivity and work/life balance.

Job Summary

Role : AWS Data Architect- Leadership

Experience : 15 - 22 Years

We are seeking a highly skilled and experienced Technical Leader for our AWS Data Engineering practice. The ideal candidate will be responsible for driving Data Engineering strategy for the practice, architecting scalable enterprise level data solutions and driving the implementation of data projects on AWS. This role requires a deep understanding of AWS services and data engineering best practices.

In this role, you will be responsible for establishing and enhancing the company's Data Engineering Services Practice. You will work closely with senior stakeholders to understand business needs and deliver technical solutions. The role is well-suited for a technically proficient individual looking to thrive in a dynamic and fast-paced environment.

Responsibilities:

Technical Leadership:

● Act as a visionary leader capable of steering, motivating, and driving exceptional performance in data engagements.

● Conduct proof-of-concept projects to explore strategic opportunities and future-oriented data processing and integration capabilities, aiming to recommend scalable, flexible, and sustainable solutions that offer a high return on investment.

● Make informed architectural decisions with the customer's needs and priorities at the forefront.

● Guide and mentor engineers, actively participating in code reviews to ensure high standards of code quality.

● Collaborate closely with the sales/pre-sales/solution team to develop proposals and strategies that align with and meet the company's performance objectives.

● Partner with the marketing team to create collateral and assist recruitment teams in identifying and attracting the right talent to expand the practice.

● Design and implement data lakes, cloud data warehouses, master data management solutions, data models, and data quality assessments as part of the data engineering scope.

● Lead the development and management of data infrastructure, including tools, dashboards, queries, reports, and scripts, ensuring automation of recurring tasks while maintaining data quality and integrity

Architecture and Design:

● Design and architect scalable and robust data solutions using AWS services.

● Ensure data architecture aligns with business requirements and best practices.

● Evaluate and select appropriate AWS services for data storage, processing, and analytics.

Project Implementation:

● Oversee the implementation of data engineering projects from inception to completion.

● Engage in strategic discussions with customers and offer thought leadership to guide their decisions.

● Ensure data quality, integrity, and security throughout the data lifecycle.

Technical Innovation:

● Stay updated with the latest trends and advancements in data engineering and AWS technologies.

● Drive continuous improvement initiatives to enhance data engineering practices and processes.

● Experiment with new tools and technologies to improve data processing efficiency and effectiveness.

What is Required:

● Bachelor's or Master's degree in Engineering or Technology (B.E. / M.E. / B.Tech / M.Tech)

● 15+ years of technical hands-on experience in Data space.

● At least 4 end-to-end implementations of large-scale data projects

● Experience working on projects across multiple geographic regions

● Extensive experience with a variety of projects, including on-premises to AWS migration,modernization, greenfield implementations and cloud-to-cloud migrations.

● Proficiency with AWS data services such as AWS Glue, Redshift, S3, Athena, EMR, Lambda, and RDS.

● Strong understanding of AWS architecture and best practices for data engineering.

● Proficiency in managing AWS IAM roles, policies, and permissions.

● Proficient in SQL and Python for data processing and transformation.

● Strong understanding of data warehousing concepts, ETL/ELT processes, and data modeling.

● Experience with data integration from various sources including batch and real-time data streams.

● Familiarity with data serialization formats such as Avro, Parquet, and ORC.

● Expertise in optimizing data pipelines and query performance.

● Experience with monitoring and troubleshooting data pipelines.

● Proficiency in performance tuning and optimization of distributed computing environments.

● Experience with data governance frameworks and practices.

● Understanding of data lifecycle management and data retention policies.

● Ability to implement and manage data quality frameworks and processes.

● Hands-on experience with big data processing frameworks like Apache Spark, Hadoop, and Kafka.

● Knowledge of stream processing technologies and frameworks.

● Experience with data visualization tools such as PowerBI or Tableau.

What’s in it for you?

The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain.

The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation.

The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. Flexible working options available to foster productivity and work/life balance.

Skills – Gen AI + Data Science/Python

Level – SA

Work location – Chennai & Pune

Experience – 5+ Years

• 4+ years of experience in Machine learning/Data Science, and Python.
• 4+ years of experience in NLP/GenAI/LLMs. Report to CES Innovation Lead and work under the supervision of the CES AI Science Lead.

Responsibilities:

• Work with ESG stakeholders to understand business problems and connect these problems with solvable data science solutions.
• Audit the different text data assets of the CES department and determine how to analyze these data assets for insights.
• Prepare high-quality training data with appropriate coverage of the ESG business domain.
• Apply and implement the latest natural language processing (NLP) research and approaches to solve business problems.
• Apply Large Language Models (both open source and managed versions) to build robust multiagentic retrieval augmented generation (RAG) pipelines.
• Stay current with the latest research advancements in the field and apply innovative solutions to complex language processing challenges.

Required Skills (Mandatory):

• At least four years work experience in machine learning, Generative AI (GenAI) with experience in at least two of the following deep learning frameworks: SciKit-Learn, TensorFlow, MLflow, PyTorch, etc.
• At least four years of experience in NLP and Large Language Models (LLMs) with a comprehensive understanding of the underlying theories and principles including expertise in areas such as tokenization, embedding techniques, sequence-to-sequence models, attention mechanisms, and transformer architecture.
• In-depth understanding of text analytics and NLP concepts such as lemmatization, word segmentation, part-of-speech, tagging, stemming, Named-Entity Recognition, word2Vec, Doc2Vec, etc.
• Proficient in Machine Translation and Optical Character Recognition (OCR) for complex document processing (PDF, Word Documents, Scanned Documents).
• Expertise in Python with strong object-oriented design and programming skills with familiarity with CI/CD concepts.
• Proficient with parallel processing APIs such as Apache Spark and PySpark.
• Excellent problem-solving and analytical skills

About Position:

We are conducting an in-person hiring drive for the position of Mlops / Data Science in Pune & Bengaluru on 2nd August 2025.Interview Location is mentioned below:

Pune – Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057

Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024

We are looking for an experienced and talented Data Science to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Mlops Architecture Strategy, Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics.

• Role: Mlops, Data Science
• Job Location: All PSL Location
• Experience: 5+ Years
• Job Type: Full Time Employment

What You'll Do:

• Design, build, and manage scalable ML model deployment pipelines (CI/CD for ML).
• Automate model training, validation, monitoring, and retraining workflows.
• Implement model governance, versioning, and reproducibility best practices.
• Collaborate with data scientists, engineers, and product teams to operationalize ML solutions.
• Ensure robust monitoring and performance tuning of deployed models

Expertise You'll Bring:

• Strong experience with MLOps tools & frameworks (MLflow, Kubeflow, SageMaker, Vertex AI, etc.).
• Proficient in containerization (Docker, Kubernetes).
• Good knowledge of cloud platforms (AWS, Azure, or GCP).
• Expertise in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of CI/CD, infrastructure as code, and automation tools.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Inclusive Environment:

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We offer hybrid work options and flexible working hours to accommodate various needs and preferences.
• Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.

Our company fosters a values-driven and people-centric work environment that enables our employees to:

• Accelerate growth, both professionally and personally
• Impact the world in powerful, positive ways, using the latest technologies
• Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
• Unlock global opportunities to work and learn with the industry’s best

Let’s unleash your full potential at Persistent

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Skills – Gen AI + Data Science/Python

Level – SA

Work location – Chennai & Pune

Experience – 5+ Years

• 4+ years of experience in Machine learning/Data Science, and Python.
• 4+ years of experience in NLP/GenAI/LLMs. Report to CES Innovation Lead and work under the supervision of the CES AI Science Lead.

Responsibilities:

• Work with ESG stakeholders to understand business problems and connect these problems with solvable data science solutions.
• Audit the different text data assets of the CES department and determine how to analyze these data assets for insights.
• Prepare high-quality training data with appropriate coverage of the ESG business domain.
• Apply and implement the latest natural language processing (NLP) research and approaches to solve business problems.
• Apply Large Language Models (both open source and managed versions) to build robust multiagentic retrieval augmented generation (RAG) pipelines.
• Stay current with the latest research advancements in the field and apply innovative solutions to complex language processing challenges.

Required Skills (Mandatory):

• At least four years work experience in machine learning, Generative AI (GenAI) with experience in at least two of the following deep learning frameworks: SciKit-Learn, TensorFlow, MLflow, PyTorch, etc.
• At least four years of experience in NLP and Large Language Models (LLMs) with a comprehensive understanding of the underlying theories and principles including expertise in areas such as tokenization, embedding techniques, sequence-to-sequence models, attention mechanisms, and transformer architecture.
• In-depth understanding of text analytics and NLP concepts such as lemmatization, word segmentation, part-of-speech, tagging, stemming, Named-Entity Recognition, word2Vec, Doc2Vec, etc.
• Proficient in Machine Translation and Optical Character Recognition (OCR) for complex document processing (PDF, Word Documents, Scanned Documents).
• Expertise in Python with strong object-oriented design and programming skills with familiarity with CI/CD concepts.
• Proficient with parallel processing APIs such as Apache Spark and PySpark.
• Excellent problem-solving and analytical skills

About Position:

We are conducting an in-person hiring drive for the position of Mlops / Data Science in Pune & Bengaluru on 2nd August 2025.Interview Location is mentioned below:

Pune – Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057

Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024

We are looking for an experienced and talented Data Science to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Mlops Architecture Strategy, Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics.

• Role: Mlops, Data Science
• Job Location: All PSL Location
• Experience: 5+ Years
• Job Type: Full Time Employment

What You'll Do:

• Design, build, and manage scalable ML model deployment pipelines (CI/CD for ML).
• Automate model training, validation, monitoring, and retraining workflows.
• Implement model governance, versioning, and reproducibility best practices.
• Collaborate with data scientists, engineers, and product teams to operationalize ML solutions.
• Ensure robust monitoring and performance tuning of deployed models

Expertise You'll Bring:

• Strong experience with MLOps tools & frameworks (MLflow, Kubeflow, SageMaker, Vertex AI, etc.).
• Proficient in containerization (Docker, Kubernetes).
• Good knowledge of cloud platforms (AWS, Azure, or GCP).
• Expertise in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of CI/CD, infrastructure as code, and automation tools.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Inclusive Environment:

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We offer hybrid work options and flexible working hours to accommodate various needs and preferences.
• Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.

Our company fosters a values-driven and people-centric work environment that enables our employees to:

• Accelerate growth, both professionally and personally
• Impact the world in powerful, positive ways, using the latest technologies
• Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
• Unlock global opportunities to work and learn with the industry’s best

Let’s unleash your full potential at Persistent

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Skills – Gen AI + Data Science/PythonLevel – SAWork location – Chennai & PuneExperience – 5+ Years4+ years of experience in Machine learning/Data Science, and Python.4+ years of experience in NLP/Gen AI/LLMs. Report to CES Innovation Lead and work under the supervision of the CES AI Science Lead.Responsibilities: Work with ESG stakeholders to understand business problems and connect these problems with solvable data science solutions.Audit the different text data assets of the CES department and determine how to analyze these data assets for insights.Prepare high-quality training data with appropriate coverage of the ESG business domain.Apply and implement the latest natural language processing (NLP) research and approaches to solve business problems.Apply Large Language Models (both open source and managed versions) to build robust multiagentic retrieval augmented generation (RAG) pipelines.Stay current with the latest research advancements in the field and apply innovative solutions to complex language processing challenges.Required Skills (Mandatory):At least four years work experience in machine learning, Generative AI (Gen AI) with experience in at least two of the following deep learning frameworks: Sci Kit-Learn, Tensor Flow, MLflow, Py Torch, etc.At least four years of experience in NLP and Large Language Models (LLMs) with a comprehensive understanding of the underlying theories and principles including expertise in areas such as tokenization, embedding techniques, sequence-to-sequence models, attention mechanisms, and transformer architecture.In-depth understanding of text analytics and NLP concepts such as lemmatization, word segmentation, part-of-speech, tagging, stemming, Named-Entity Recognition, word2 Vec, Doc2 Vec, etc.Proficient in Machine Translation and Optical Character Recognition (OCR) for complex document processing (PDF, Word Documents, Scanned Documents).Expertise in Python with strong object-oriented design and programming skills with familiarity with CI/CD concepts.Proficient with parallel processing APIs such as Apache Spark and Py Spark.Excellent problem-solving and analytical skills