Data Architect

Job Overview

We are seeking a highly skilled Data Architect with extensive experience in Snowflake integration, data analytics, and data governance. The ideal candidate will play a key role in fully integrating Snowflake with systems such as Workday, Salesforce, and our HR system. Additionally, they will be responsible for building out the Snowflake platform, supporting multiple corporate initiatives, and operationalizing data analytics as a core function within the organization.

Key Responsibilities:

Snowflake Integration: Lead the end-to-end integration of Snowflake with Workday, Salesforce, and the HR system, ensuring seamless data flow across platforms.
Data Analytics: Develop and implement the Snowflake consumption and gold analytics layers, operationalizing data analytics as a corporate goal. Ensure the platform supports scalable analytics that drive business decisions.
Data Governance: Design and implement a robust data governance model for Snowflake, leveraging DPT (API layer for Snowflake) and Python for scripting automation and quality control.
Platform Development: Build and enhance the Snowflake platform to support five key initiatives, including data analytics, governance, and AI product development. Use dbt Cloud to build trusted, governed data pipelines.
Technical Expertise: Apply deep knowledge of Snowflake architecture to optimize platform performance, ensure data security, and enhance integration capabilities.
Collaboration: Work cross-functionally with business leaders, data scientists, and engineers to define and execute the data strategy in alignment with corporate goals.
Best Practices: Implement and maintain best practices for data management, including data quality, metadata management, and security policies.

Requirements:

Proven experience with Snowflake platform architecture, including data warehousing, analytics layers, and governance models.
Expertise in integrating Snowflake with Workday, Salesforce, and other key systems.
Strong background in data analytics, including operationalizing analytics within large organizations.
Proficient in Python for scripting and automation within data governance frameworks.
Experience with DPT (Snowflake API layer) for integration and governance tasks.
Solid understanding of dbt Cloud to build governed data pipelines on Snowflake.
Strong knowledge of data management principles, including data governance and metadata management.
Excellent communication skills to collaborate across business and technical teams.

Preferred Qualifications:

Experience in AI and machine learning products built on Snowflake.Certifications in Snowflake or other cloud data platforms.
Prior experience in leading data governance programs.

Business Challenges:

The successful candidate will be tasked with:

Developing comprehensive data governance models to ensure data integrity and compliance. Building out the Snowflake platform, including the gold analytics layer and consumption layer, to support five critical business initiatives. Leveraging expertise in Snowflake, Python, and dbt Cloud to drive innovation in data management and analytics.

Benefits:

Competitive salary and benefits package.
Flexible remote working environment.
Opportunities for professional development and career growth.
Collaborative and supportive team culture

Osprey Software

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