Live opening · Posted 3 days ago

Data Architect

WebKorps · Gurugram, Haryana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyWebKorps
LocationGurugram, Haryana, India (On-site)
Work modeNo
SkillsPython, AWS, Azure, Power BI
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

Experience: 12+ Years
Location: Gurgaon – 5 Days WFO
Job Summary
We are looking for a Data Architect with strong experience in Data Integration, Snowflake and Databricks, along with expertise in Data Architecture, ETL/ELT, SQL, Data Modeling and Cloud Data Platforms.
Key Responsibilities
Design and implement scalable data architecture and data integration solutions.
Design end-to-end data pipelines for batch and real-time data processing.
Develop and optimize data solutions using Snowflake and Databricks.
Design ETL/ELT pipelines for integrating data from multiple sources.
Work with structured and unstructured data across various systems.
Define data models, data flows, data transformation and integration strategies.
Optimize Snowflake and Databricks workloads for performance, scalability and cost.
Lead and manage data engineering/architecture teams, providing technical direction, mentoring and guidance.
Work closely with cross-functional teams, including Data Engineering, Business, Product, Analytics and other technical teams, to understand requirements and deliver effective data solutions.
Ensure data quality, consistency, security and governance across the data platform.
Participate in cloud data migration and modernization initiatives.
Create and maintain architecture diagrams, technical documentation and data flow diagrams.
Manage project priorities, technical deliverables and team collaboration to ensure successful implementation.
Required Skills
Strong experience in Data Integration and Data Architecture.
Hands-on experience with Snowflake.
Hands-on experience with Databricks.
Strong knowledge of ETL/ELT concepts and data pipelines.
Strong SQL and database knowledge.
Experience with Conceptual, Logical and Physical Data Modeling.
Experience designing scalable Data Warehouse, Data Lake and Lakehouse solutions.
Experience with cloud-based data platforms.
Strong understanding of Data Security, Governance and Data Quality.
Experience integrating data from APIs, databases, files and other enterprise applications.
Strong team management, leadership and mentoring skills.
Excellent communication and stakeholder management skills.
Good to Have
Experience with AWS.
Azure Data Factory or similar data integration tools.
Apache Spark / PySpark.
Kafka or other real-time streaming technologies.
Python.
Power BI or other BI tools.
Experience with cloud migration projects.
Knowledge of Delta Lake and Medallion Architecture.

Work arrangement
No

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