Job Summary

We are looking for an experienced Data Architect to design, build, and optimize up-to-date Data Lakehouse platforms for largescale analytics and data processing. The role requires strong expertise in distributed data architectures, AWS cloud services, big data technologies, and data modeling, along with hands on leadership in defining scalable, secure, and high performance data solutions.

Key Responsibilities

- Design and own endtoend Data Lakehouse architecture for batch and realtime analytics
- Define data ingestion, transformation, storage, and consumption patterns using Sparkbased frameworks
- Architect scalable solutions leveraging AWS services and Databricks
- Establish standards for data modeling, partitioning, performance tuning, and cost optimization
- Lead architectural reviews and guide engineering teams on best practices
- Ensure data quality, governance, security, and reliability across the platform
- Collaborate with platform, DevOps, SRE, and security teams for production readiness
- Support major incidents, vulnerability management, and platform stability




- Drive CI/CD automation and InfrastructureasCode practices

Technical Skills & Experience

Programming & Scripting

- PySpark, Python, SQL
- MySQL, NoSQL
- Shell Scripting, Bash, YAML

Data & Database Technologies

- Relational Databases: PostgreSQL, Redshift
- Data Modeling: Star Schema
- Data Formats: Parquet, CSV, JSON
- Database Tools: DBeaver

Big Data & Lakehouse Technologies

- Apache Spark (architecture), Hadoop, MapReduce, YARN
- Hive, Sqoop, ETL frameworks
- Databricks (Data Engineering workloads)

Cloud & Platform

- AWS Cloud: S3, EC2, Glue, Redshift, Athena, EMR
- Monitoring & Ops: AWS CloudWatch, Dynatrace
- Networking & Infra: Amazon Route 53, F5 Load Balancer
- Infrastructure as Code: Terraform
- CI/CD & Deployment: Git, Azure DevOps

SRE, Security & Reliability

- Site Reliability Engineering concepts
- Major Incident Management
- Vulnerability and security best practices

Additional Exposure

- BigQuery, DataProc
- Kubernetes
- Windows & Linux environments

📌 Data Architect (Maharashtra)
🏢 Deloitte Shared Services India
📍 Maharashtra