Senior Data Architect

Summary

Join Data Ideology as a Senior Data Architect and play a pivotal role in integrating diverse data sources into production-ready data models. You will lead data architecture initiatives, develop data governance frameworks, and design data models to support business needs. This role requires strong collaboration with business and technical teams, ensuring requirements are met throughout the data and analytics lifecycle. You will also mentor team members and foster a collaborative environment. The position offers remote work and is a contract-to-hire opportunity.

Requirements

• Minimum of 7 years of relevant experience as a Data Architect, Data Scientist, or Data Analyst, with at least 5 years in senior data architecture roles
• Proven experience with designing, implementing, and optimizing complex data architectures
• Expertise in data warehousing, data modeling, and data integration (SQL, NoSQL, cloud platforms, ETL tools)
• Strong experience with cloud-based platforms and technologies (e.g., AWS, Azure, GCP, Snowflake)
• Knowledge of data governance principles, including data lineage, metadata management, and data security best practices
• Strong communication skills, with the ability to engage with both technical and non-technical stakeholders
• Demonstrated leadership abilities in driving data transformation initiatives and guiding technical teams

Responsibilities

• Lead and design data architecture initiatives, ensuring solutions are scalable, secure, and efficient
• Develop and implement data governance frameworks, ensuring proper management, security, and compliance of data
• Design and implement multidimensional and tabular data models to support business and analytics needs
• Lead the development of ETL/ELT processes, ensuring alignment with optimization and scheduling best practices
• Collaborate with business stakeholders to understand requirements and translate them into actionable data architecture plans
• Evaluate and recommend improvements for data systems, ensuring high performance and data quality
• Drive business impact through technical solutions and alignment with business success metrics
• Lead data integration efforts, focusing on modern data platforms, including cloud environments (e.g., AWS, GCP, Microsoft Azure, Snowflake)
• Mentor team members and foster a collaborative environment across cross-functional teams
• Document solution architecture and perform design and analysis work to achieve business objectives

Preferred Qualifications

• Experience with data visualization tools like Power BI
• Hands-on experience with data warehouse modeling methodologies
• Knowledge of industry regulations and standards
• Experience with real-time and large-batch data pipelines
• Familiarity with machine learning and predictive analytics

Benefits

Remote work from home