Avensys Consulting
Website:
aven-sys.com
Company:
https://www.linkedin.com/company/avensys-consulting-global
Industries: IT Services and IT Consulting and Information Services
Job details:
Engineering Manager
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 Engineering Manager. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.
Job Summary
We are seeking an experienced Engineering Manager to lead a team of Data Engineers in designing, developing, and delivering scalable data platforms on Databricks. The role involves driving technical excellence, people leadership, delivery management, stakeholder engagement, and continuous improvement while ensuring high-quality, secure, and reliable data solutions.
Please note the EM role requires a 50% delivery focus and 50% hands-on technical expertise on the Databricks platform, along with strong stakeholder communication skills, preferably within banking
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.
- Drive continuous improvement in engineering processes.
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
- Delta Lake
- Delta Live Tables (DLT)
- Unity Catalog
- Databricks Workflows
- Auto Loader
- Structured Streaming
- MLflow (preferred)
- Photon Engine
- Databricks Asset Bundles (preferred)
- AI Skills – Nice to Have Genie & Cursor AI
Cloud Platforms
- Microsoft Azure
- AWS or Google Cloud Platform
- Cloud Storage (ADLS, S3, GCS)
Data Engineering
- 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
- Azure DevOps / GitHub
- CI/CD Pipelines
- Terraform (preferred)
- Infrastructure as Code
Database Technologies
- SQL Server
- Oracle
- Snowflake
- PostgreSQL
- NoSQL databases (preferred)
Leadership Skills
- Engineering leadership
- Team management
- Agile delivery
- Stakeholder management
- Risk management
- Conflict resolution
- 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.
- Experience building enterprise-scale data platforms.
- Strong understanding of cloud-native architectures and data governance.
- Experience with performance tuning, cost optimization, and production support.
Nice to Have
- Databricks Certified Data Engineer Professional
- Azure Data Engineer Associate
- 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
- Good Communication skills.
- Databricks experience is a must.
- Banking /Financial service experience .
- 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 ON 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.
To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to Lavanya@aven-sys.com Your interest will be treated with strict confidentiality.
CONSULTANT DETAILS
Consultant Name: Lavanya M S
Reg No: 201201037177
Avensys Consulting Sdn Bhd
Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy polic
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