Data Architect
- Grid Dynamics
- 15 - 20 years
- Hyderabad
- 3 days 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 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 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.
Job Classification
Industry: BPM / BPOFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse Architect / ConsultantEmployement Type: Full timeContact Details:
Company: Grid DynamicsLocation(s): Hyderabad
Keyskills: data architect hive sql redshift data modeling spark gcp apache spark hadoop bigquery big data etl architecture azure s3 snowflake python airflow presales data quality compliance kafka data governance yarn aws rfp
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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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