Data Architect

WebKorps
Gurugram, Haryana, India

Experience: 12+ Years

Location: Gurgaon – 5 Days WFO

Job SummaryWe 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.

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