A leading software development company in India is seeking a mid-senior level Data Architect with extensive skills in data engineering. The ideal candidate will have over 8 years of experience in building data platforms using various tools and frameworks like Python, Spark, and Azure. Responsibilities include ensuring effective model deployment and monitoring. This full-time position offers a competitive budget up to ₹36 LPA.
Qualifications
Minimum 4-5 years experience as Architect.
Must be from a Data Engineering background.
8+ years in data engineering or data science roles.
Responsibilities
Build data platforms using Dataflow.
Implement MLOps and model deployment.
Monitor and log models effectively.
Skills
Gen AI
Machine Learning Models
AWS
Azure
Redshift
Python
Apache Airflow
DevOps
Job description
Skills: Gen AI, Machine learning Models, AWS/ Azure, redshift, Python, Apachi, Airflow, Devops, minimum 4-5 years experience as Architect, should be from Data Engineering background.
Years of Experience: 12+ Years
Budget up to 35 -36 LPA
Key Skills to Succeed in this role
Strong hands-on background in data engineering, analytics, or data science.
Expertise in building data platforms using: Dataflow.
Compute: Spark, Databricks, Flink.
Proficiency with Python, SQL, and data pipeline orchestration tools.
Understanding of ML frameworks and tools: TensorFlow, PyTorch, Scikit-learn, MLflow, etc.
Experience implementing MLOps, model deployment, monitoring, logging, and versioning.
Preferred Qualifications
8+ years of experience in data engineering, data science, or architecture roles.
Certification in major cloud platforms (AWS/Azure/GCP).
Experience with governance tooling (Collibra, Alation) and lineage systems