Sr Mgr, Data Engineering

Sinch; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Inclusive workplace

Career growth opportunities

Hybrid work model

Job summary

A leading communications technology company is seeking a Data Engineering Manager in Bengaluru to build and lead their new data engineering team. The role involves designing robust data platforms and ensuring their scalability and reliability. Candidates should have over 10 years of experience in data engineering leadership and a strong ability in leveraging cloud technologies like GCP and AWS. This position promises an influential role in shaping data practices and fostering efficient team collaboration.

Qualifications

• 10+ years of experience in data engineering leadership roles.
• Strong technical background in building and scaling data platforms.
• Familiarity with making data governance and data quality practices.

Responsibilities

• Build and lead the Data Engineering team in Bengaluru.
• Design and deliver robust data pipelines and platforms.
• Drive technical roadmap collaboration across teams.

Skills

Data engineering leadership

Designing data platforms

ETL/ELT

Cloud platforms (GCP, AWS)

Data quality management

Streaming frameworks

Communication skills

Tools

BigQuery

Kafka

Airflow

Snowflake

Databricks

Job description

Seasoned Data Engineering Manager with 10+ years of experience leading high-performing data platform teams. Strong technical expertise in designing, building, and scaling modern data platforms, including IAC, ETL/ELT, and batch as well as real-time event-driven architectures. Proficient with streaming frameworks, orchestration, metadata, and data quality management. Hands‑on experience with GCP cloud, AWS, and delivering data solutions to diverse stakeholders.

Sinch is pioneering the way the world communicates. More than 150,000 businesses - including Google, Uber, Paypal, Visa, Tinder, and many others - rely on Sinch's Customer Communications Cloud to power engaging customer experiences through mobile messaging, voice, and email.

Whether you need to verify users or craft omnichannel campaigns, Sinch makes it easy. Our AI‑infused Super Network, APIs, and applications ensure you can connect with your customers reliably and securely, at every step of their journey.

At Sinch we "Dream Big", "Win Together", "Keep it simple", and "Make it Happen". These values are our foundation!

The essence of the role

We are looking for an experienced Data Engineering Manager to build and lead our new Data Engineering team in Bengaluru. You will work in our data org that spans across Europe, the Americas and soon India.

In this role, you will shape how we design, operate, and scale our core data engineering practice ensuring it is reliable, scalable, and able to power products, analytics, and intelligent systems across the organization. Our teams build and maintain essential pipelines and platform components that enable both batch, real‑time data flows and advanced data processing, providing the foundation for high‑quality data across the company.

You will work hands‑on with data engineering practices, designing and delivering robust data pipelines, models, and datasets, and building data products that can be reliably consumed by multiple teams and systems across the organization.

As a key technical leader, you will drive the evolution of our data platform architecture, elevate engineering excellence, and foster a culture of collaboration, ownership, and continuous improvement. You will play a central role in strengthening our data platform to support advanced analytics, AI, and ML at scale, accelerating our ability to innovate with data, while ensuring that data products are well‑designed, trusted, and aligned with business needs.

This is a unique opportunity to build our first team in India and influence the future of our data roadmap and strengthen the teams who rely on it.

Team Leadership & Mentoring: Lead, mentor, and grow a team of data engineers, fostering a supportive, high‑performing environment focused on reliability, scalability, and operational excellence.

Platform Strategy & Roadmap: Help define and drive the technical roadmap in close collaboration with your engineering manager peers, product managers, architects, and key stakeholders—ensuring the platform evolves to meet the needs of data producers, consumers, and downstream products.

Engineering Excellence: Champion platform‑oriented engineering best practices, including infrastructure automation, CI/CD for data and platform components, observability, reliability engineering, and robust security and compliance standards.

Technical Guidance & Architecture: Engage in deep architectural and technical discussions, evaluate alternative platform approaches, and guide the team in designing scalable systems, interfaces, and services that power data across the organization.

Cross‑Functional Collaboration: Partner closely with data product teams, application engineering, SRE/infra, analytics, and ML teams to ensure seamless integration, consistent platform adoption, and alignment on standards and patterns.

Who are you?

Experience - 10+ Years.

• Experience as a Data Engineering Manager or in a similar leadership role within data engineering or data platform teams.
• Strong technical background in data engineering, including experience building, operating, and scaling modern data platforms.
• Solid understanding of IAC, ETL/ELT and working with both batch and real‑time (event‑driven) data.
• Experience with modern data technologies and delivering data to internal and external stakeholders.
• Familiarity with data platform architectures, including streaming frameworks, workflow orchestration, and metadata/data quality management.
• Hands‑on experience with cloud platforms (e.g. GCP, AWS) and their data services.
• A strong advocate for engineering excellence with a track record of improving data engineering practices, reliability, and operational efficiency.
• Excellent communication and interpersonal skills, with the ability to articulate complex data and platform concepts to both technical and non‑technical audiences.
• Familiarity with data governance, data quality practices, and secure access patterns for data consumers.
• Experience migrating from legacy data systems and decommissioning outdated data technologies and tooling.
• In‑depth knowledge of modern data technologies and frameworks (e.g., BigQuery, dbt, Kafka, Airflow, Snowflake, Databricks).
• Experience of data as a product and data mesh concepts.

Being you at Sinch :

We're a worldwide group of people, committed to diversity. We're working to offer an increasingly inclusive workplace wherever you are. No matter who you are, you'll be able to explore new career and growth options - sharing your voice, building your path and making it happen with us.

We're proud to be an equal opportunity employer, and all qualified applicants will be considered to join our team regardless of race, colour, religion, gender identity or expression, sexual orientation, pregnancy, disability, age, veteran status, and more.

Being a Sincher is all about learning and being in pursuit of new challenges. Working in the offices, at home, or in a hybrid model, that means celebrating change and the unknown, rolling up your sleeves and seeing what impact you can have on the world. The only way is up, and you'll be reaching for the opportunities that match where you want to take your career. It's closer than you think.

It's time to chase the answers, chase the challenges and chase the dream.