Data Architect

V2 Solutions; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Grid Dynamics in Hyderabad is seeking a seasoned Data Architect to design and own end-to-end data architectures including data lakes, data warehouses, and streaming pipelines on public clouds. You will lead technical delivery and collaborate with cross-functional teams to ensure scalable, cost-efficient solutions.

The ideal candidate has 12–16 years in data engineering/analytics, strong SQL and Python, experience with Spark, Kafka, Hadoop, and cloud services, plus presales exposure and

Qualifications

• 12–16 years of overall data engineering/analytics experience with 4+ years as a Data/Big Data Architect.
• Deep knowledge of SQL and Python for data processing and automation.
• Hands-on experience with Spark, Kafka, Hadoop ecosystem, and modern ETL/ELT pipelines.

Responsibilities

• Design and own end-to-end data architectures including data lakes, data warehouses, and streaming pipelines on public cloud platforms.
• Define canonical data models, integration patterns, and governance standards for data quality, security, and compliance.
• Lead presales activities: client workshops, solution blueprints, effort sizing, and RFP/RFI responses.
• Build and review PoCs using SQL and Python (PySpark) to demonstrate feasibility and value.
• Collaborate with data engineers, BI/ML teams, and architects to ensure scalable, cost-efficient implementations.
• Establish best practices for data security, access control, and lifecycle management.
• Monitor and optimize data platforms for performance, reliability, and cost with cloud-native tools.
• Provide architectural guidance and mentoring to engineering teams.

Skills

SQL

Python

Spark

Kafka

Hadoop

Cloud platforms

Data Modeling

Presales

Communication

Governance & Security

Job description

# Data ArchitectGrid DynamicsPosted on August 19, 2026---Experience15 - 20 yrsJob LocationHyderabad, IndiaVacancy1DesignationData ArchitectJob TypeONSITE---## Job DescriptionTotal Experience - 11years-15yearsLocation- Bangalore/Chennai/HyderabadRequirements for the candidateDesired 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.* Strong expertise in**SQL**(analytical queries, performance tuning) and**Python**for 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.