Hi,
Hope you are doing well.
This is Tahir from Drevol LLC. Please find below the job description for your reference and please let me know if you are interested in this position.
Job Title: Data Architect/Modeler
Location: Jersey, City, NJ (Onsite)
Duration: 12 Months
Required Skills & Experience:
• 8–10 years of experience in Enterprise Data Architecture and Data Modeling across modern data platforms.
• Hands-on experience with Data Engineering and development of scalable, modern data pipelines.
• Proven experience with cloud-based data platforms and distributed data processing technologies.
• Strong understanding of data warehouses, data lake, and lakehouse architecture, including implementation on Modern data platforms.
• Cloud data platforms (e.g. Snowflake, Databricks, or similar)
• On-prem data platforms / legacy data warehouses (e.g. Oracle Exadata)
• Experience designing and implementing ETL/ELT frameworks using tools native to both platforms (e.g., Spark-based pipelines, Snowflake tasks and streams).
• Experience with data integration and ingestion patterns for large-scale structured and unstructured data across platforms.
• Experience designing modern data platforms for legacy transformation initiatives.
• Experience with Master Data Management (MDM) and enterprise data governance frameworks.
• Knowledge of metadata management, data lineage, data cataloging, and data quality processes.
• Experience working with financial services data domains and regulatory/compliance-driven data environments.
• Strong SQL expertise along with programming/scripting experience in Python, PySpark, or Snowpark.
• Experience with dbt (Data Build Tool) for: Data transformation and modeling, ELT pipeline development within Snowflake/Databricks, Modular, reusable SQL-based data workflows, Data testing, documentation, and version control integration
• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform, including their integration with Snowflake and Databricks.
• Familiarity with API integration, real-time/streaming data pipelines (e.g., Kafka, Spark Streaming), and event-driven architectures.
• Understanding of security, compliance, and governance standards, including role-based access, data masking, and encryption in both Snowflake and Databricks.
• Experience working in Agile delivery models and collaborating with cross-functional teams.
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