Engineering Manager

Brillio; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Brillio in Bengaluru, India seeks an Engineering Manager for Data, Analytics & AI to lead a team of data engineers, BI engineers, and analysts. The role balances architectural ownership, delivery accountability, and people management in complex enterprise data environments.

You will design and govern data architectures, own delivery quality, and drive growth through strong stakeholder engagement. Six+ years in delivery leadership and a track record of enterprise-scale data solutions are

Qualifications

• 10-12 years in data engineering/BI/architecture, incl. 6+ years in delivery leadership
• Experience architecting enterprise-scale data warehouse/lakehouse solutions
• Hands-on ETL/BI with a major cloud data platform
• Exposure to AI/ML pipeline integration or GenAI analytics
• Proven track record of managing and developing engineering talent
• Primary technical contact for data/BI initiatives with business stakeholders
• Experience in a consulting/client delivery environment managing multiple engagements
• Delivery quality and P&L accountability for engagements
• Experience in proposals, SOWs, staffing plans for opportunities
• Hiring, performance reviews, career development, and resource allocation across projects
• Budget/revenue management experience

Responsibilities

• Architectural ownership of data/analytics platforms
• Lead delivery of data/BI projects and manage multiple engagements
• Develop and grow a team of data engineers, BI developers, and analysts
• Serve as technical point of contact for stakeholders on data initiatives
• Support proposals, SOWs, and staffing plans for opportunities
• Ensure delivery quality and P&L accountability for engagements
• Collaborate with business stakeholders to manage requirements and delivery

Skills

Data architecture

People management

Stakeholder liaison

Consulting delivery

Proposals/SOWs

Team leadership

Budget management

P&L ownership

AI/ML pipelines

Tools

Snowflake

Databricks

Redshift

Synapse

BigQuery

Job description

About the Role

Represent Brillio at executive/steering forums, convert delivery credibility into account growth( upsell, new logos, RFP support)

Engineering Manager – Data, Analytics & AI

• Reports to: Director / Senior Director – AI & Data Engineering

Role Summary

We are looking for an Engineering Manager who is technically savvy in Data, Analytics or AI, who can design and govern enterprise data and reporting architectures while leading and growing a team of data engineers, BI Engineers or AI talent. In this role, the candidate should be roughly balancing architectural ownership, delivery accountability, and people management.

Responsibilities

Key Responsibilities

• Architecture & Technical Ownership
• 10-12 years in data engineering/BI/architecture, including 6+ years in delivery leadership roles
• Proven experience architecting data warehouse/lakehouse solutions at enterprise scale
• Strong hands-on experience with ETL/BI tool with at least one major cloud data platform (Snowflake, Databricks, Redshift, Synapse, BigQuery)
• Exposure to AI/ML pipeline integration or GenAI-enabled analytics
• Track record of managing and developing engineering talent
• Serve as the primary technical point of contact for business stakeholders on data/BI initiatives
• Experience in a consulting/client delivery environment managing multiple concurrent engagements
• Own delivery quality and P&L accountability of an engagement
• Represent Brillio at executive/steering forums, convert delivery credibility into account growth( upsell, new logos, RFP support)
• Support proposals, SOWs, and staffing plans for new opportunities
• Manage, mentor, and grow a team of data engineers, BI developers, and analysts
• Hiring, performance reviews, career development, resource allocation across concurrent projects
• Partner with internal and external business stakeholders to manage the requirements and delivery
• Must have experience in budget/revenue management
• Good to have
• Good to have HLS industry experience
• Relevant certifications (Snowflake SnowPro, Databricks Certified Architect, Microsoft/AWS data certifications)

Qualifications

• 10-12 years in data engineering/BI/architecture, including 6+ years in delivery leadership roles

Required Skills

• Proven experience architecting data warehouse/lakehouse solutions at enterprise scale
• Strong hands-on experience with ETL/BI tool with at least one major cloud data platform (Snowflake, Databricks, Redshift, Synapse, BigQuery)
• Exposure to AI/ML pipeline integration or GenAI-enabled analytics
• Track record of managing and developing engineering talent
• Serve as the primary technical point of contact for business stakeholders on data/BI initiatives
• Experience in a consulting/client delivery environment managing multiple concurrent engagements
• Own delivery quality and P&L accountability of an engagement
• Support proposals, SOWs, and staffing plans for new opportunities
• Manage, mentor, and grow a team of data engineers, BI developers, and analysts
• Hiring, performance reviews, career development, resource allocation across concurrent projects
• Partner with internal and external business stakeholders to manage the requirements and delivery
• Must have experience in budget/revenue management

Preferred Skills

• Good to have HLS industry experience
• Relevant certifications (Snowflake SnowPro, Databricks Certified Architect, Microsoft/AWS data certifications)