🚀 We're Hiring : Lead Data Consultant / Senior Data Engineer
📍 Location : [Insert Location]
| 💼 Industry : Financial Services & Insurance (FSI)
Are you passionate about building scalable, cloud-native data platforms? Join our team to lead the design and delivery of enterprise-grade Lakehouse architectures using Azure , Databricks , and Delta Lake .
🔧 What You'll Do :
- Architect Lakehouse solutions with bronze / silver / gold layers
- Build scalable ETL / ELT pipelines using Azure Data Factory, Airflow, Databricks, and PySpark
- Define enterprise data architectures with lineage, governance, and integration patterns
- Enable AI / ML-ready data flows and agent orchestration pipelines
- Lead ingestion, transformation, and orchestration frameworks in cloud-native environments
- Implement FSI-specific data governance, lineage tracking, and access controls
- Collaborate across platform, ML, API, and compliance teams
- Automate infrastructure with CI / CD pipelines and Terraform
- Mentor engineers and promote reusable, modular assets.
🧠 What You Bring :
10+ years in data engineering with deep Azure expertiseHands-on experience with Databricks, Delta Lake, PySpark, SQLKnowledge of Kafka, RDBMS, unstructured data integrationFamiliarity with GenAI, metadata-driven ELT, and data meshStrong understanding of data lineage, quality, and FSI complianceProficiency in Azure services : ADF, Synapse, Blob Storage, Key VaultCI / CD with GitHub / GitLab / Azure DevOps; IaC with TerraformAgile delivery experience and strong documentation skillsExcellent communication and mentoring capabilities.🌟 Why Join Us?
Work on cutting-edge data + AI systemsInfluence enterprise architecture and deliveryBe part of a collaborative, forward-thinking teamOpportunity to shape technical assets and go-to-market solutions