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AI Summary
The role involves developing a world-class analytics and business intelligence experience by building and operating modern data architectures, including complex data processing pipelines and delivery mechanisms. Responsibilities also include leading the design of new data solutions, monitoring pipeline health, and developing self-service analytics capabilities.
Sr Staff Engineer, Data
Location: Bangalore
About Movius
Movius is revolutionizing the way businesses communicate. We are the leading global provider of secure, cloud-based mobile communications and we aim to be the most trusted business conversation solutions that enables businesses to build strong and lasting relationships with its customers.
Our MultiLine™ solution enhances workflows, resolves compliance gaps and unifies cross-channel messaging. Movius AI-powered solutions enable businesses to build strong and lasting relationships with their customers in a company-owned, controllable system. In today’s on-the-go world, wave goodbye to excessive hardware costs and IT overhead. Welcome to Phone 3.0™.
Headquartered in Alpharetta, GA, with offices in Bangalore, India, and London, Movius partners with leading global wireless carriers like T-Mobile, BT, Singtel & more.
Movius supports remote and flexible working arrangements with our people located across USA, India, Australia, Asia and Europe.
To learn more about Movius, visit www.movius.ai.
Your Opportunity
As a Senior Analytics Engineer (or Lead Data Engineer) at Movius, you will play a key role in building a data-driven foundation that supports our products, customers, and business decisions. You will design, develop, and maintain scalable data pipelines and cloud-based architectures that power analytics, reporting, and insights across the organization. This role provides the opportunity to influence data strategy, modernize our data platforms, and drive meaningful business impact through intelligent use of data.
What You’ll Do
Develop a world-class analytics and business intelligence experience for Movius.
Build and operate modern data architectures that create complex data processing pipelines, transformations, and delivery mechanisms.
Monitor pipeline health to ensure data quality, consistency, and SLA adherence.
Lead the design and implementation of new data solutions, including orchestration for reporting and BI.
Collaborate closely with Product Managers, Software Engineers, and other technical teams to deliver customer value through data, analytics, and insights.
Champion high standards of data governance, quality, and reliability across all systems.
Develop, automate, and maintain business intelligence dashboards and reports to support strategic and operational needs.
Drive the development of self-service analytics solutions, enabling business teams to make data-driven decisions efficiently.
What You Bring
Minimum of 5+ years of experience in data engineering, analytics, or business intelligence.
Strong understanding of real-time data streaming and pipeline architectures (e.g., Kafka).
Proven experience in building and maintaining scalable data delivery pipelines (e.g., API, SFTP).
Expertise in designing and developing pipelines to ingest, clean, and transform raw data from multiple sources into cloud platforms (Azure, AWS, GCP).
Proficiency in SQL, ETL frameworks, and programming languages such as Python or R.
Hands-on experience with data visualization tools such as Domo (preferred), Tableau, Power BI, or Looker Studio.
Bachelor’s degree in computer science, Statistics, Mathematics, Economics, Data Analytics, Data Science, or a related field.
Experience providing data-driven insights that influence product innovation and strategic decision-making.
Why Join Movius?
Make a Real Impact: Your work will directly shape how Movius leverages data to enhance products and customer experiences worldwide.
Innovation-Driven Culture: Be part of a forward-thinking environment where data and analytics play a central role in driving decisions.
Collaborative & Global Team: Work alongside talented professionals across geographies who are passionate about solving complex challenges.
Continuous Learning: We encourage upskilling and innovation—whether through experimentation, certifications, or new technology adoption.
High-Trust Environment: You’ll have autonomy to take initiative, experiment, and deliver solutions that move the business forward.
Location: Bangalore
About Movius
Movius is revolutionizing the way businesses communicate. We are the leading global provider of secure, cloud-based mobile communications and we aim to be the most trusted business conversation solutions that enables businesses to build strong and lasting relationships with its customers.
Our MultiLine™ solution enhances workflows, resolves compliance gaps and unifies cross-channel messaging. Movius AI-powered solutions enable businesses to build strong and lasting relationships with their customers in a company-owned, controllable system. In today’s on-the-go world, wave goodbye to excessive hardware costs and IT overhead. Welcome to Phone 3.0™.
Headquartered in Alpharetta, GA, with offices in Bangalore, India, and London, Movius partners with leading global wireless carriers like T-Mobile, BT, Singtel & more.
Movius supports remote and flexible working arrangements with our people located across USA, India, Australia, Asia and Europe.
To learn more about Movius, visit www.movius.ai.
Your Opportunity
As a Senior Analytics Engineer (or Lead Data Engineer) at Movius, you will play a key role in building a data-driven foundation that supports our products, customers, and business decisions. You will design, develop, and maintain scalable data pipelines and cloud-based architectures that power analytics, reporting, and insights across the organization. This role provides the opportunity to influence data strategy, modernize our data platforms, and drive meaningful business impact through intelligent use of data.
What You’ll Do
Develop a world-class analytics and business intelligence experience for Movius.
Build and operate modern data architectures that create complex data processing pipelines, transformations, and delivery mechanisms.
Monitor pipeline health to ensure data quality, consistency, and SLA adherence.
Lead the design and implementation of new data solutions, including orchestration for reporting and BI.
Collaborate closely with Product Managers, Software Engineers, and other technical teams to deliver customer value through data, analytics, and insights.
Champion high standards of data governance, quality, and reliability across all systems.
Develop, automate, and maintain business intelligence dashboards and reports to support strategic and operational needs.
Drive the development of self-service analytics solutions, enabling business teams to make data-driven decisions efficiently.
What You Bring
Minimum of 5+ years of experience in data engineering, analytics, or business intelligence.
Strong understanding of real-time data streaming and pipeline architectures (e.g., Kafka).
Proven experience in building and maintaining scalable data delivery pipelines (e.g., API, SFTP).
Expertise in designing and developing pipelines to ingest, clean, and transform raw data from multiple sources into cloud platforms (Azure, AWS, GCP).
Proficiency in SQL, ETL frameworks, and programming languages such as Python or R.
Hands-on experience with data visualization tools such as Domo (preferred), Tableau, Power BI, or Looker Studio.
Bachelor’s degree in computer science, Statistics, Mathematics, Economics, Data Analytics, Data Science, or a related field.
Experience providing data-driven insights that influence product innovation and strategic decision-making.
Why Join Movius?
Make a Real Impact: Your work will directly shape how Movius leverages data to enhance products and customer experiences worldwide.
Innovation-Driven Culture: Be part of a forward-thinking environment where data and analytics play a central role in driving decisions.
Collaborative & Global Team: Work alongside talented professionals across geographies who are passionate about solving complex challenges.
Continuous Learning: We encourage upskilling and innovation—whether through experimentation, certifications, or new technology adoption.
High-Trust Environment: You’ll have autonomy to take initiative, experiment, and deliver solutions that move the business forward.
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