What are the responsibilities and job description for the Lead Data Architect (w2 Only ) position at Jobs via Dice?
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Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
Ensure solutions align with enterprise data governance, security, and compliance standards.
Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
Document architectural decisions and promote knowledge sharing across the team
Qualifications
5 years in data architecture, engineering, or related roles.
Proven experience as a Data Architect in enterprise environments, ideally in financial services.
Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.
Solid understanding of ETL/ELT, data modeling, and SQL.
Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).
Strong knowledge of Python and SQL scripting; experience with API integrations.
Ability to evaluate multiple implementation approaches and recommend optimal solutions.
Exposure to data visualization and data engineering practices.
Excellent communication skills, with the ability to mentor
Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
Ensure solutions align with enterprise data governance, security, and compliance standards.
Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
Document architectural decisions and promote knowledge sharing across the team
Qualifications
5 years in data architecture, engineering, or related roles.
Proven experience as a Data Architect in enterprise environments, ideally in financial services.
Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.
Solid understanding of ETL/ELT, data modeling, and SQL.
Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).
Strong knowledge of Python and SQL scripting; experience with API integrations.
Ability to evaluate multiple implementation approaches and recommend optimal solutions.
Exposure to data visualization and data engineering practices.
Excellent communication skills, with the ability to mentor