Data Architect

Job Title: Data Architect
Location: Remote

What's In It for You?

As a Senior Data Architect, you will lead the design, alignment, and advancement of enterprise data architecture. This role emphasizes data transformation, governance, and enrichment. You will play a pivotal role in shaping the data ecosystem that drives organizational growth and innovation.

Key Responsibilities:

• Define and establish the data architecture framework, setting standards and best practices across data modeling, metadata management, security, reference data, and master data.

• Provide strategic guidance on data-related matters including data processing, data lake architecture, integration techniques, and governance.

• Promote and champion the enterprise data strategy among stakeholders, including business units and development teams, through documentation, reviews, and collaboration to support broader business and technology objectives.

• Drive continuous improvement of the data platform, focusing on technology upgrades, cost optimization, and compliance.

• Select and communicate standard architectural approaches, recommend frameworks, and develop technical roadmaps.

• Partner with cross-functional teams-including data engineers, scientists, business analysts, and product teams-to collect requirements and translate business needs into scalable technical solutions.

Experience and Skills Required:

• 5+ years of experience in Data Engineering and Data Architecture.

• Exceptional communication, presentation, and stakeholder engagement skills.

• Strong hands-on expertise in enterprise system architecture, solution/integration design, and technology evaluation.

• Proven track record in developing enterprise data platforms, implementing data strategies, and managing data at scale.

• Deep experience with Azure Data Stack: Azure SQL, Data Factory, Databricks, ADLS, DevOps, Event Hubs, etc.

• Proficiency in one or more programming languages: Python, Java, Scala, or C#.

• Demonstrated experience in architecting both greenfield and brownfield environments across cloud and on-premises.

• Strong background in building and scaling data warehouses, data lakes, or lakehouses.

• Solid understanding of Agile methodologies and DevOps best practices.

Education:

• Bachelor's degree in Computer Science, Data Engineering, or a related technical field.

Preferred Qualifications:

• Experience architecting and implementing Data Mesh architecture.

• Familiarity with infrastructure-as-code and automating data/ML production pipelines.

• Prior exposure to legacy Hadoop ecosystems.

• Experience collaborating closely with Data Science teams.

• Healthcare data experience is a strong plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Job Title: Data Architect
Location: Remote

What's In It for You?

As a Senior Data Architect, you will lead the design, alignment, and advancement of enterprise data architecture. This role emphasizes data transformation, governance, and enrichment. You will play a pivotal role in shaping the data ecosystem that drives organizational growth and innovation.

Key Responsibilities:

• Define and establish the data architecture framework, setting standards and best practices across data modeling, metadata management, security, reference data, and master data.

• Provide strategic guidance on data-related matters including data processing, data lake architecture, integration techniques, and governance.

• Promote and champion the enterprise data strategy among stakeholders, including business units and development teams, through documentation, reviews, and collaboration to support broader business and technology objectives.

• Drive continuous improvement of the data platform, focusing on technology upgrades, cost optimization, and compliance.

• Select and communicate standard architectural approaches, recommend frameworks, and develop technical roadmaps.

• Partner with cross-functional teams-including data engineers, scientists, business analysts, and product teams-to collect requirements and translate business needs into scalable technical solutions.

Experience and Skills Required:

• 5+ years of experience in Data Engineering and Data Architecture.

• Exceptional communication, presentation, and stakeholder engagement skills.

• Strong hands-on expertise in enterprise system architecture, solution/integration design, and technology evaluation.

• Proven track record in developing enterprise data platforms, implementing data strategies, and managing data at scale.

• Deep experience with Azure Data Stack: Azure SQL, Data Factory, Databricks, ADLS, DevOps, Event Hubs, etc.

• Proficiency in one or more programming languages: Python, Java, Scala, or C#.

• Demonstrated experience in architecting both greenfield and brownfield environments across cloud and on-premises.

• Strong background in building and scaling data warehouses, data lakes, or lakehouses.

• Solid understanding of Agile methodologies and DevOps best practices.

Education:

• Bachelor's degree in Computer Science, Data Engineering, or a related technical field.

Preferred Qualifications:

• Experience architecting and implementing Data Mesh architecture.

• Familiarity with infrastructure-as-code and automating data/ML production pipelines.

• Prior exposure to legacy Hadoop ecosystems.

• Experience collaborating closely with Data Science teams.

• Healthcare data experience is a strong plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.