Senior Data Engineer

BMC Software, Inc.; Pune District; Hybrid; INR 2,600,000 - 4,400,000; Full time

Job summary

BMC Software, Inc. seeks an experienced Senior Data Engineer to design, build, and scale modern data platforms and pipelines powering Agentic-AI, analytics, reporting, ML, and data-driven decisions across the business.

Ideal candidates bring deep expertise in data architecture, ELT/ETL development, and cloud data platforms, with a track record in B2B SaaS or enterprise tech environments where data is critical for sales, product insights, revenue operations, and executive reporting.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 8+ years of experience in data engineering, preferably in B2B SaaS or large-scale technology companies.
• Strong experience designing and building scalable data pipelines and cloud-based data platforms.
• Advanced proficiency in SQL and strong programming skills in Python, Scala, or Java.
• Hands-on experience with modern cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar.
• Experience with data orchestration and transformation tools such as Airflow, dbt, Informatica, Fivetran, or equivalent.
• Strong understanding of data modeling, including dimensional modeling and analytics-oriented schema design.
• Experience working with data domains such as product analytics, GTM analytics, customer success, finance, or subscription analytics.
• Experience building and managing data pipelines that support AI/ML workloads, including feature preparation, model-ready datasets, and scalable ingestion of structured and unstructured data.
• Familiarity with modern data architectures for AI/GenAI use cases, including vector-ready data pipelines, metadata management, and support for retrieval and inference workflows.
• Experience with CI/CD, infrastructure-as-code, and engineering best practices in modern data environments.
• Exposure to semantic layers, governed metrics, and enterprise data product architectures.
• Experience working with structured and semi-structured data at scale.
• Familiarity with data quality, observability, lineage, and governance best practices.
• Experience in Agile or product-oriented delivery environments.
• Strong problem-solving skills and ability to work across technical and business teams.
• Strong communication skills and ability to explain technical concepts clearly to non-technical stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines and integrations across internal and external systems.
• Develop and optimize data solutions that support analytics, BI, machine learning, AI/Agentic AI, operational reporting, and self-service data access.
• Build robust ELT/ETL workflows to ingest and transform data from systems such as CRM, product telemetry, marketing, finance, support, and subscription platforms.
• Design and maintain clean, scalable, and well-documented data models for enterprise reporting and analytics use cases.
• Improve data reliability, quality, observability, lineage, and performance across the data platform.
• Design and maintain scalable data pipelines and data services that enable AI/ML and GenAI use cases, including model-ready datasets, feature pipelines, and support for retrieval-based and intelligent application workflows.
• Partner with analytics engineers, data scientists, architects, and business stakeholders to translate requirements into production-grade data solutions.
• Ensure data pipelines are secure, governed, and aligned with enterprise data standards and best practices.
• Optimize data processing and storage for performance, cost, scalability, and maintainability.
• Support near real-time and batch data processing patterns as required by business use cases.
• Contribute to the design of the overall data architecture, including ingestion, transformation, orchestration, storage, semantic modeling, and data serving layers.
• Troubleshoot pipeline issues, resolve data inconsistencies, and drive root-cause remediation.
• Contribute to engineering standards, code quality, and team best practices.

Skills

SQL

Python

Scala

Java

Snowflake

BigQuery

Redshift

Databricks

Airflow

dbt

Informatica

Fivetran

ETL/ELT

Data Modeling

CI/CD

IaC

GenAI

Governance

Data Quality

Education

Bachelor's degree in Computer Science

Tools

Snowflake

BigQuery

Redshift

Databricks

Airflow

dbt

Informatica

Fivetran

Job description

You may occasionally be required to travel for business

Description and Requirements

CA-JF

Hybrid: #LI-Hybrid

BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage.

We are seeking an experienced Senior Data Engineer to design, build, and scale modern data platforms and pipelines that power Agentic-AI, analytics, reporting, machine learning, and data-driven decision-making across the business. This role is ideal for someone with a strong background in B2B SaaS or enterprise technology environments, where data is critical to driving sales & product insights, revenue operations, customer success, and executive reporting.

The ideal candidate brings deep expertise in data architecture, ELT/ETL development, cloud data platforms, data modeling, and data quality, along with a strong understanding of how to build reliable, scalable, and governed data solutions in fast-paced technology organizations. This person will partner closely with analytics, data science, business teams, and platform stakeholders to ensure trusted data is delivered efficiently and at scale.

Here is how, through this exciting role, YOU will contribute to BMC's and your own success:

• Design, build, and maintain scalable data pipelines and integrations across internal and external systems.
• Develop and optimize data solutions that support analytics, BI, machine learning, AI/Agentic AI, operational reporting, and self-service data access.
• Build robust ELT/ETL workflows to ingest and transform data from systems such as CRM, product telemetry, marketing, finance, support, and subscription platforms.
• Design and maintain clean, scalable, and well-documented data models for enterprise reporting and analytics use cases.
• Improve data reliability, quality, observability, lineage, and performance across the data platform.
• Design and maintain scalable data pipelines and data services that enable AI/ML and GenAI use cases, including model-ready datasets, feature pipelines, and support for retrieval-based and intelligent application workflows.
• Partner with analytics engineers, data scientists, architects, and business stakeholders to translate requirements into production-grade data solutions.
• Ensure data pipelines are secure, governed, and aligned with enterprise data standards and best practices.
• Optimize data processing and storage for performance, cost, scalability, and maintainability.
• Support near real-time and batch data processing patterns as required by business use cases.
• Contribute to the design of the overall data architecture, including ingestion, transformation, orchestration, storage, semantic modeling, and data serving layers.
• Troubleshoot pipeline issues, resolve data inconsistencies, and drive root-cause remediation.
• Contribute to engineering standards, code quality, and team best practices.

To ensure you're set up for success, you will bring the following skillset & experience:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 8+ years of experience in data engineering, preferably in B2B SaaS or large-scale technology companies.
• Strong experience designing and building scalable data pipelines and cloud-based data platforms.
• Advanced proficiency in SQL and strong programming skills in Python, Scala, or Java.
• Hands-on experience with modern cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar.
• Experience with data orchestration and transformation tools such as Airflow, dbt, Informatica, Fivetran, or equivalent.
• Strong understanding of data modeling, including dimensional modeling and analytics-oriented schema design.
• Experience working with data domains such as product analytics, GTM analytics, customer success, finance, or subscription analytics.
• Experience building and managing data pipelines that support AI/ML workloads, including feature preparation, model-ready datasets, and scalable ingestion of structured and unstructured data.
• Familiarity with modern data architectures for AI/GenAI use cases, including vector-ready data pipelines, metadata management, and support for retrieval and inference workflows.
• Experience with CI/CD, infrastructure-as-code, and engineering best practices in modern data environments.
• Exposure to semantic layers, governed metrics, and enterprise data product architectures.
• Experience working with structured and semi-structured data at scale.
• Familiarity with data quality, observability, lineage, and governance best practices.
• Experience in Agile or product-oriented delivery environments.
• Strong problem-solving skills and ability to work across technical and business teams.
• Strong communication skills and ability to explain technical concepts clearly to non-technical stakeholders.

Core Skills

• Data Warehousing
• AI Data Pipelines and Feature Engineering
• Data Quality and Governance

What Success Looks Like

Success in this role means building trusted, scalable, and efficient data foundations that enable the business to move faster with confidence. The successful candidate will improve data accessibility, reduce pipeline failures, strengthen data quality, and create the technical foundation needed for analytics, AI, reporting, and operational decision-making across the company.

Our commitment to you!

BMC's culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won't be known just by your employee number, but for your true authentic self. BMC lets you be YOU!

BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.

BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.

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