Data Principal

Phoenix, Arizona

Job Summary

Responsibilities

Provide thought leadership, engineering expertise, and direction to engineering teams.

Collaborate with business stakeholders, product teams, and cross-functional technology groups to drive continuous delivery.

Drive user story analysis and elaboration.

Design and develop software applications.

Test and build automation tools.

Own all technical aspects of software development, including architecture, design, and system development.

Perform hands-on software development and coding.

Write API specifications.

Conduct proof of concepts (POCs).

Perform code reviews.

Conduct testing in ongoing sprints.

Drive consistent development practices, tools, and common components.

Develop deep understanding of integrations with other systems and platforms.

Work with technical product managers on blueprints and annual feature planning.

Identify opportunities to adopt new technologies and address future challenges.

Communicate solution designs effectively with internal and external business partners.

Functional Skills

Strong analytical and strategic thinking skills.

Ability to interpret technical and business objectives and challenges.

Porting and software configuration.

Agile methodologies.

Software development and testing.

Object-oriented analysis and design across multiple platforms.

Designing high-availability applications.

Product engineering knowledge (preferred).

Qualifications

Bachelor’s Degree in Computer Science, Computer Science Engineering, or related field.

Advanced degree preferred.

8+ years of commercial software development experience.

Technical Skills

Proficiency in Google Cloud Platform (Google Cloud Storage and BigQuery).

Hands-on experience with Big Data platforms (Scala, Spark, Hive SQL).

Experience with Big Data Lake.

Experience in ETL processes, tools, and data modeling on Big Data platforms.

Proficiency in Secure File Transfer (SFT) operations and data management.

Experience with Agile development, Continuous Integration, and Continuous Delivery.

Working knowledge of CI/CD pipeline tools.

Experience with automated release management using Maven, Salt, Git, and Jenkins.

Experience in architecture design and modeling of complex systems.

Understanding of web technologies (HTTP, Apache).

Familiarity with Unix/Linux.

Understanding of data structures, algorithms, and design patterns.

Leadership & Communication

Strong written communication and documentation abilities.

Proactive approach towards continuous improvement opportunities.

Ability to lead teams and collaborate with stakeholders.

Strong leadership and communication skills.

Ability to influence technical and non-technical stakeholders across functions.

Secondary Skills

Design and develop end-to-end business intelligence solutions using Power BI.

Define and implement data models, metrics, and KPIs.

Design, develop, and optimize multidimensional and tabular data models.

Strong proficiency in DAX, Power Query, and SQL.

Design Power BI dashboards and reports.

Troubleshoot, debug, and optimize BI solutions including reports, cubes, and semantic models.

Develop and maintain BI frameworks, semantic layers, and metadata repositories.

Support data governance, standardization, and administration.

Key Responsibilities

Responsibilities

Provide thought leadership, engineering expertise, and direction to engineering teams.

Collaborate with business stakeholders, product teams, and cross-functional technology groups to drive continuous delivery.

Drive user story analysis and elaboration.

Design and develop software applications.

Test and build automation tools.

Own all technical aspects of software development, including architecture, design, and system development.

Perform hands-on software development and coding.

Write API specifications.

Conduct proof of concepts (POCs).

Perform code reviews.

Conduct testing in ongoing sprints.

Drive consistent development practices, tools, and common components.

Develop deep understanding of integrations with other systems and platforms.

Work with technical product managers on blueprints and annual feature planning.

Identify opportunities to adopt new technologies and address future challenges.

Communicate solution designs effectively with internal and external business partners.

Functional Skills

Strong analytical and strategic thinking skills.

Ability to interpret technical and business objectives and challenges.

Porting and software configuration.

Agile methodologies.

Software development and testing.

Object-oriented analysis and design across multiple platforms.

Designing high-availability applications.

Product engineering knowledge (preferred).

Qualifications

Bachelor’s Degree in Computer Science, Computer Science Engineering, or related field.

Advanced degree preferred.

8+ years of commercial software development experience.

Technical Skills

Proficiency in Google Cloud Platform (Google Cloud Storage and BigQuery).

Hands-on experience with Big Data platforms (Scala, Spark, Hive SQL).

Experience with Big Data Lake.

Experience in ETL processes, tools, and data modeling on Big Data platforms.

Proficiency in Secure File Transfer (SFT) operations and data management.

Experience with Agile development, Continuous Integration, and Continuous Delivery.

Working knowledge of CI/CD pipeline tools.

Experience with automated release management using Maven, Salt, Git, and Jenkins.

Experience in architecture design and modeling of complex systems.

Understanding of web technologies (HTTP, Apache).

Familiarity with Unix/Linux.

Understanding of data structures, algorithms, and design patterns.

Leadership & Communication

Strong written communication and documentation abilities.

Proactive approach towards continuous improvement opportunities.

Ability to lead teams and collaborate with stakeholders.

Strong leadership and communication skills.

Ability to influence technical and non-technical stakeholders across functions.

Secondary Skills

Design and develop end-to-end business intelligence solutions using Power BI.

Define and implement data models, metrics, and KPIs.

Design, develop, and optimize multidimensional and tabular data models.

Strong proficiency in DAX, Power Query, and SQL.

Design Power BI dashboards and reports.

Troubleshoot, debug, and optimize BI solutions including reports, cubes, and semantic models.

Develop and maintain BI frameworks, semantic layers, and metadata repositories.

Support data governance, standardization, and administration.

Skill Requirements

Responsibilities

Provide thought leadership, engineering expertise, and direction to engineering teams.

Collaborate with business stakeholders, product teams, and cross-functional technology groups to drive continuous delivery.

Drive user story analysis and elaboration.

Design and develop software applications.

Test and build automation tools.

Own all technical aspects of software development, including architecture, design, and system development.

Perform hands-on software development and coding.

Write API specifications.

Conduct proof of concepts (POCs).

Perform code reviews.

Conduct testing in ongoing sprints.

Drive consistent development practices, tools, and common components.

Develop deep understanding of integrations with other systems and platforms.

Work with technical product managers on blueprints and annual feature planning.

Identify opportunities to adopt new technologies and address future challenges.

Communicate solution designs effectively with internal and external business partners.

Functional Skills

Strong analytical and strategic thinking skills.

Ability to interpret technical and business objectives and challenges.

Porting and software configuration.

Agile methodologies.

Software development and testing.

Object-oriented analysis and design across multiple platforms.

Designing high-availability applications.

Product engineering knowledge (preferred).

Qualifications

Bachelor’s Degree in Computer Science, Computer Science Engineering, or related field.

Advanced degree preferred.

8+ years of commercial software development experience.

Technical Skills

Proficiency in Google Cloud Platform (Google Cloud Storage and BigQuery).

Hands-on experience with Big Data platforms (Scala, Spark, Hive SQL).

Experience with Big Data Lake.

Experience in ETL processes, tools, and data modeling on Big Data platforms.

Proficiency in Secure File Transfer (SFT) operations and data management.

Experience with Agile development, Continuous Integration, and Continuous Delivery.

Working knowledge of CI/CD pipeline tools.

Experience with automated release management using Maven, Salt, Git, and Jenkins.

Experience in architecture design and modeling of complex systems.

Understanding of web technologies (HTTP, Apache).

Familiarity with Unix/Linux.

Understanding of data structures, algorithms, and design patterns.

Leadership & Communication

Strong written communication and documentation abilities.

Proactive approach towards continuous improvement opportunities.

Ability to lead teams and collaborate with stakeholders.

Strong leadership and communication skills.

Ability to influence technical and non-technical stakeholders across functions.

Secondary Skills

Design and develop end-to-end business intelligence solutions using Power BI.

Define and implement data models, metrics, and KPIs.

Design, develop, and optimize multidimensional and tabular data models.

Strong proficiency in DAX, Power Query, and SQL.

Design Power BI dashboards and reports.

Troubleshoot, debug, and optimize BI solutions including reports, cubes, and semantic models.

Develop and maintain BI frameworks, semantic layers, and metadata repositories.

Support data governance, standardization, and administration.

Other Requirements

Maximum Salary (US): 172000

Minimum Salary (US): 87000

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