We’re hiring for a 40+ year-old US-based product company with a strong presence in the technology space.

? Location: Bangalore

? Experience: 10+ years

? Work Mode: Hybrid – 1 day per week from office

If you’re looking for an opportunity with an established product-based organization, we’d love to hear from you!

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Team Leadership

- Lead and mentor a growing team of data engineers, including talent reviews and career development.
- Own planning, estimation, prioritization, and delivery tracking that aligns with leadership direction and expectations.
- Coordinate intake and stakeholder communication for data requests and roadmap planning.
- Set and enforce compliance with architecture standards, engineering standards for code quality,

testing, documentation, and production readiness.
- Foster a culture of curiosity and continuous learning, where engineers explore new technologies,

share knowledge, and question assumptions.

Data Pipelines and Integration

- Design, build, and maintain ETL/ELT pipelines from enterprise applications, internal services, and third-party APIs.
- Design, develop, operationalize robust and scalable data pipelines from enterprise applications,

internal services, and third-party APIs that support business needs.
- Lead in designing and building production data pipelines from data ingestion to consumption using GCP services, Python, BigQuery, DBT, SQL, Apache Airflow, Celigo etc.
- Drive AI adoption across the team's engineering workflows - the team has a mandate for AI adoption, and you'll be expected to be a role model, to champion, remove friction,



and help engineers integrate AI tools into their daily development, code review, documentation, and debugging practices.
- Design and oversee data models in a medallion architecture.
- Mandate high standards for data validation, profiling, reconciliation, and quality initiatives.
- Stay updated with industry trends and technologies to continuously improve our data engineering practices.

Reliability and DataOps

- Build monitoring and alerting for data jobs, orchestration, and lakehouse health.
- Participate and evolve production support, incident response, and on-call rotations.

Strategic Leadership

- Translate business goals into scalable data and automation solutions in partnership with both business and technology stakeholders.
- Champion data democratization and self-service access to data and analytics across the company.
- Evaluate and recommend tools and end-to-end solutions across Analytics, Data Engineering, ML

Engineering and Data Governance.
- Apply systems thinking to identify underlying problems and/or opportunities.

We’re Excited to Learn More About You

- 3+ years of leading or managing data engineering teams with an emphasis on data analytics,

devops and up-to-date data platforms.




- 5+ years of hands-on data engineering experience in cloud environments.
- Direct experience in design and development of large scale data solutions using GCP services like

DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud

Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.

- Experience in implementing cloud data solutions in the context of business applications, cost optimization, business strategic needs and future growth goals as it relates to becoming a data-

driven organization.
- Expert level knowledge of architecture frameworks, methodologies, and tools.
- Solid working understanding across all the disciplines within a data team - Data Visualization, Data

Governance Artificial Intelligence and Machine Learning.
- Experience implementing Infrastructure as Code (IaC), with regards to automating Cloud IAM and

Data Policy Tags.
- Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.
- Expert level knowledge of Data Modeling.
- Strong execution habits: you create and maintain project timelines, know when things are off track before your team tells you.
- A proactive mindset toward AI-assisted engineering - you should already be using AI tools (Copilot,

Claude, ChatGPT, or similar) in your own work and have opinions about how they change engineering workflows, code quality, and team productivity. We're looking for someone who sees

AI as a multiplier.

📌 Engineering Manager - Data Engineer (Bengaluru)
🏢 Scendsky Private
📍 Bengaluru