Total Experience - 11years-15years

Location- Bangalore/Chennai/Hyderabad

Requirements for the candidate

Desired data engineering skills:

- Experience with AWS (S3, EMR, running Spark jobs on K8s or EKS, Glue, Athena)
- Extensive experience with Apache Spark
- Hands-on experience in Python
- Experience with Apache Airflow
- Experience with Apache Iceberg
- Hands-on experience with Hadoop stack (YARN, HDFS, Hive) will be a plus.

Essential functions

Key Responsibilities

- Design and own endtoend data architectures including data lakes, data warehouses, and streaming pipelines using big data technologies (e.g., Spark, Kafka, Hive) on public cloud platforms.
- Define canonical data models, integration patterns, and governance standards to ensure data quality, security, and compliance across the organization.
- Lead presales activities: assess client requirements, run discovery workshops, define solution blueprints, size and estimate effort, and contribute to RFP/RFI responses and proposals.
- Build and review PoCs/accelerators using SQL and Python (e.g., PySpark, notebooks) to demonstrate feasibility, performance, and business value to customers.
- Collaborate with data engineers, BI/ML teams, and application architects to ensure the designed architecture is implemented as intended and is costefficient, scalable, and reliable.
- Establish best practices for data security, access control,



and lifecycle management in alignment with regulatory and enterprise policies.
- Monitor and continuously optimize data platforms for performance, reliability, and cost, leveraging cloudnative services and observability tools.
- Provide architectural guidance and mentoring to engineering teams; review designs and code for critical data components.

Required Skills Experience

- 12-16 years of overall experience in data engineering/analytics, with 4+ years as a Data/Big Data Architect.
- Robust expertise inSQL(analytical queries, performance tuning) andPythonfor data processing and automation.
- Hands-on experience with big data frameworks and tools such as Spark, Kafka, Hadoop ecosystem, distributed file systems, and modern ETL/ELT pipelines.
- Practical experience on at least one major cloud platform (AWS, Azure, or GCP) with services such as data lakes, warehouse services (Redshift/Snowflake/BigQuery/Synapse), and orchestration tools.
- Proven presales exposure: client workshops, solution design, RFP/RFI responses, effort estimation, and building PoCs or demos.
- Strong understanding of data modeling (OLTP, OLAP, dimensional modeling), data governance, security, and compliance.
- Ability to communicate complex data solutions clearly to both technical and business stakeholders.

📌 Data Architect (Hyderabad)
🏢 Grid Dynamics
📍 Hyderabad