Overview
On Site
USD 200,000.00 - 225,000.00 per year
Full Time
Skills
Data Analysis
Mentorship
Collaboration
Data Governance
Access Control
Data Quality
Innovation
Continuous Improvement
Budget
Computer Science
Data Engineering
Leadership
SQL Azure
Data Architecture
Modeling
Extract
Transform
Load
Management
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Agile
Project Management
Databricks
Snow Flake Schema
Microsoft Technologies
Microsoft
Microsoft Power BI
Microsoft Azure
Genetics
Authorization
Law
LOS
Recruiting
Job Details
This Jobot Job is hosted by: Christian Aviles
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $200,000 - $225,000 per year
A bit about us:
Entertainment company
Why join us?
Outstanding benefits and exposure to cutting-edge tech in a dynamic workplace.
Job Details
Position Title: Director - Data Solutions & Engineering
Join Our Team:
We offer exciting opportunities with real growth potential and excellent benefits. With a wide-reaching presence and a collaborative team of thousands, we're focused on delivering memorable experiences through innovation and technology.
About the Role:
The Director of Data Solutions & Engineering will be a highly motivated leader and strategic problem-solver, collaborating cross-functionally across departments. This role is responsible for shaping and executing the organization's data engineering vision, ensuring robust data infrastructure and architecture that support innovation, business growth, and digital transformation. The ideal candidate will bring deep expertise in data, analytics, and modern technology to drive impactful, data-driven outcomes.
Key Responsibilities:
Define and implement a forward-thinking data engineering strategy.
Lead, mentor, and grow the data engineering team.
Align data engineering initiatives with organizational objectives.
Collaborate on data governance and access control frameworks.
Design, develop, and maintain scalable data pipelines and architecture using Azure Data services.
Partner with cross-functional teams to ensure solutions meet business needs.
Uphold high standards for data quality, integrity, and security.
Promote innovation and continuous improvement across data engineering practices.
Oversee budgets, resources, and timelines for data initiatives.
Stay current on trends and advancements in data engineering.
Maintain data accuracy and reliability for analytical use.
Apply strong problem-solving abilities in a high-pressure environment.
Communicate effectively across technical and non-technical teams.
Drive results through leadership, strategy, and execution.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Engineering, Engineering, or a related field.
10+ years of experience in data engineering, including 5+ years in leadership roles.
Advanced proficiency in Microsoft Azure Data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database).
Deep understanding of data architecture, modeling, and ETL pipelines.
Demonstrated success managing large-scale data projects and teams.
Strong analytical, problem-solving, and communication skills.
Experience working in dynamic, fast-paced environments.
Familiarity with Agile development and project management methodologies.
Certifications in Microsoft Azure, Databricks, and/or Snowflake.
Experience with additional Microsoft technologies such as Microsoft Fabric, Power BI, and Azure Data Ops.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $200,000 - $225,000 per year
A bit about us:
Entertainment company
Why join us?
Outstanding benefits and exposure to cutting-edge tech in a dynamic workplace.
Job Details
Position Title: Director - Data Solutions & Engineering
Join Our Team:
We offer exciting opportunities with real growth potential and excellent benefits. With a wide-reaching presence and a collaborative team of thousands, we're focused on delivering memorable experiences through innovation and technology.
About the Role:
The Director of Data Solutions & Engineering will be a highly motivated leader and strategic problem-solver, collaborating cross-functionally across departments. This role is responsible for shaping and executing the organization's data engineering vision, ensuring robust data infrastructure and architecture that support innovation, business growth, and digital transformation. The ideal candidate will bring deep expertise in data, analytics, and modern technology to drive impactful, data-driven outcomes.
Key Responsibilities:
Define and implement a forward-thinking data engineering strategy.
Lead, mentor, and grow the data engineering team.
Align data engineering initiatives with organizational objectives.
Collaborate on data governance and access control frameworks.
Design, develop, and maintain scalable data pipelines and architecture using Azure Data services.
Partner with cross-functional teams to ensure solutions meet business needs.
Uphold high standards for data quality, integrity, and security.
Promote innovation and continuous improvement across data engineering practices.
Oversee budgets, resources, and timelines for data initiatives.
Stay current on trends and advancements in data engineering.
Maintain data accuracy and reliability for analytical use.
Apply strong problem-solving abilities in a high-pressure environment.
Communicate effectively across technical and non-technical teams.
Drive results through leadership, strategy, and execution.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Engineering, Engineering, or a related field.
10+ years of experience in data engineering, including 5+ years in leadership roles.
Advanced proficiency in Microsoft Azure Data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database).
Deep understanding of data architecture, modeling, and ETL pipelines.
Demonstrated success managing large-scale data projects and teams.
Strong analytical, problem-solving, and communication skills.
Experience working in dynamic, fast-paced environments.
Familiarity with Agile development and project management methodologies.
Certifications in Microsoft Azure, Databricks, and/or Snowflake.
Experience with additional Microsoft technologies such as Microsoft Fabric, Power BI, and Azure Data Ops.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
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.