Data Architect
- Grid Dynamics
- 12 - 16 years
- Hyderabad
- 1 month ago
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Job Description
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 end to end 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 cost efficient, 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 cloud native 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse Architect / ConsultantEmployement Type: Full timeContact Details:
Company: Grid DynamicsLocation(s): Hyderabad+ View Contact
Keyskills: Automation Data modeling Analytical Data processing Data quality Medical insurance Apache RFP Analytics SQL
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Grid Dynamics
About Us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. Fusing technical vision with business acumen, we enable positive business outcomes for enterprise companies undergoing business tran...
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