Product Data Manager

Signature IT World Inc; New York (NY); Hybrid; USD 100,000 - 150,000; Full time

Job summary

Signature IT World Inc is seeking a Data Product Manager with expertise in Data Engineering and a strong knowledge of Data Governance, Azure, and banking industry standards. The role is hybrid, requiring 3 days onsite in NYC and 2 days remote. Ideal candidates will have experience managing data product lifecycles and working collaboratively with stakeholders to ensure data quality and compliance. Proficiency in Snowflake, Python, and data pipeline management is essential for success in this position.

Qualifications

• Proven experience as a Data Product Manager or similar role with a strong technical background in Data Engineering.
• Deep understanding of Snowflake, Python, Pyspark, SQL, and cloud data platforms.
• Extensive experience with data warehousing, ETL/ELT processes, and data pipeline management.

Skills

Data Governance

Data Quality

Azure Cloud

Enterprise Data Management

Snowflake

Python

Pyspark

SQL

Data warehousing

ETL/ELT processes

Banking and financial industry data

CI/CD practices

Agile methodologies

Tools

Azure

Databricks

Apache Kafka

Job description

Location: NYC, NY (Hybrid 3 days onsite and 2 days remote per week)

W2 Contract

Required Skills & Experience:

• Proven experience as a Data Product Manager or similar role with a strong technical background in Data Engineering.
• Data Governance / Data Quality / Azure Cloud / Enterprise Data Management (Invest Banking experience is MUST)
• Deep understanding of Snowflake, Python, Pyspark, SQL, and cloud data platforms.
• Extensive experience with data warehousing, ETL/ELT processes, and data pipeline management.
• Strong knowledge of banking and financial industry data, including compliance, security, and privacy standards.
• Able to bridge the technical and business worlds, translating complex data concepts into understandable solutions.
• Familiar with release management, CI/CD practices, and version control.
• Excellent communication, stakeholder management, and collaboration skills.
• Experience working with Data Engineers, Data Analysts, and Business Stakeholders in a fast-paced environment.

Preferred Qualifications:

• Experience working with Azure, Databricks, and related cloud services.
• Knowledge of streaming technologies like Apache Kafka.
• Familiarity with DevOps practices, CI/CD pipelines, and Agile methodologies.
• Prior experience in the banking or financial services industries.