Senior Data Architect

March 4

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Data Ideology, LLC

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Data Ideology, LLC is a consulting firm specializing in data strategy, analytics, artificial intelligence, machine learning, and data engineering. The company offers solutions to maximize business outcomes through data-driven insights and strategies, providing services such as data governance, analytics and visualization, and efficient data engineering pipelines. It works with industries including healthcare, financial services, and retail, offering its expertise to enterprise, mid-market, and private equity clients. Data Ideology partners with leading technology platforms like Snowflake, Databricks, Microsoft, and Google to deliver improved data quality, eliminate data silos, and enhance security and compliance for IT teams, finance, operations, and sales and marketing functions.

Data Management • Analytics • Business Intelligence • Advanced Analytics • Data Warehousing

11 - 50 employees

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• 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.

🎯 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.