Engineering Manager

Avensys Consulting; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Avensys Consulting is seeking an Engineering Manager to lead data engineering initiatives and drive end-to-end delivery of scalable data platforms. You will mentor a team of data engineers and technical leads, define architectures, and ensure governance, security, and optimal cloud costs across multi-cloud environments.

You will collaborate with product owners, architects, and platform teams to align delivery with business priorities, manage risks, and uphold production readiness and timely

Qualifications

• 10-15+ years of experience in Data Engineering.
• 3-5+ years of experience leading engineering teams.
• Hands-on experience with Databricks on Azure, AWS, or GCP.
• Strong understanding of cloud-native architectures and data governance.
• Experience with performance tuning, cost optimization, and production support.

Responsibilities

• Lead the design and implementation of scalable data platforms and pipelines.
• Plan sprint execution and manage project timelines across multiple initiatives.
• Mentor Data Engineers and Technical Leads; drive hiring and onboarding.
• Collaborate with Product Owners and Platform teams; communicate progress and risks.
• Ensure platform reliability, monitoring, and cost optimization across cloud regions.

Skills

Engineering leadership

Team management

Coaching & mentoring

Resource planning

Budget & capacity planning

Stakeholder communication

Tools

Databricks

AWS

GCP

Azure

SQL

Python

Terraform

Databricks Workspace

Unity Catalog

Databricks Workflows

Auto Loader

Structured Streaming

MLflow

Job description

Avensys is a reputed global IT professional services company, and our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. And we service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking for an Engineering Manager. This is an exciting opportunity to expand your skill set, achieve job satisfaction, and work-life balance. More details as below.

Key Responsibilities

Technical Leadership

• Lead the design and implementation of scalable data platforms using Databricks.
• Define technical architecture, coding standards, and engineering best practices.
• Drive adoption of modern data engineering patterns including Medallion Architecture.
• Review solution designs, code, and performance optimization strategies.
• Ensure data security, governance, and compliance standards are followed.

Delivery Management

• Own end-to-end delivery of multiple data engineering initiatives.
• Plan sprint execution and manage project timelines.
• Identify and mitigate delivery risks and dependencies.
• Ensure production readiness and successful release management.

People Management

• Lead and mentor a team of Data Engineers and Technical Leads.
• Conduct performance reviews and career development discussions.
• Support hiring, onboarding, and capability development.
• Foster a culture of collaboration, innovation, and accountability.

Stakeholder Management

• Collaborate with Product Owners, Architects, Business stakeholders, and Platform teams.
• Communicate delivery progress, risks, and technical decisions.
• Manage stakeholder expectations and prioritize business requirements.

Operational Excellence

• Ensure platform reliability, availability, and performance.
• Drive root cause analysis for production incidents.
• Improve monitoring, alerting, and observability.
• Optimize cloud infrastructure and operational costs.

Required Skills

Databricks

• Databricks Workspace
• Unity Catalog
• Databricks Workflows
• Auto Loader
• Structured Streaming
• MLflow (preferred)
• Photon Engine
• AWS or Google Cloud Platform
• Apache Spark (PySpark and Spark SQL)
• Python
• SQL
• Data Warehousing
• ETL/ELT Design
• Medallion Architecture
• Batch and Streaming Data Pipelines
• Data Modeling (Star, Snowflake, Data Vault)

DevOps & CI/CD

• Git
• Terraform (preferred)
• Infrastructure as Code

Database Technologies

• SQL Server
• Oracle
• Snowflake
• NoSQL databases (preferred)

Leadership Skills

• Engineering leadership
• Team management
• Coaching and mentoring
• Resource planning
• Budget and capacity planning

Preferred Experience

• 10-15+ years of experience in Data Engineering.
• 3-5+ years of experience leading engineering teams.
• Hands-on experience with Databricks on Azure, AWS, or GCP.
• Strong understanding of cloud-native architectures and data governance.
• Experience with performance tuning, cost optimization, and production support.

Nice to Have

• Azure Solutions Architect
• Experience with Apache Kafka or Event Hubs
• Knowledge of AI/ML pipelines and Generative AI
• Experience with Data Mesh or Data Fabric architectures
• It's a mix of technical + delivery role. Say 50-50
• Databricks experience is a must.
• Leading couple of squads (20+ members) to deliver outcome with delivery and quality focus is a must.
• Solution and Design experience is a must.
• Good planning skills is a must.
• SQL is a must, Python/pyspark good to have.
• Experience in end-to-end delivery from requirements to production and post go live support.
• Experience in project estimations, budgeting, and costing.

WHAT'S AN OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.