Director Data Engineering

What can you expect in a Director of Data Engineering role with TaskUs: 

Key Responsibilities:

• Manage a geographically diverse team of Managers/Senior Managers of Data Engineering responsible for the ETL to process, transform, and derive attributes for all operational data for reporting and analytics use from various transactional systems.
• Sets and enforces BI standards and architecture. Aligns BI architecture with enterprise architecture.
• Partner with business leaders, technology leaders, and other stakeholders to champion the strategy, design, development, launch, and management of cloud data engineering-related projects and initiatives that can scale and rapidly meet strategic and business objectives
• Define cloud data engineering strategy, roadmap, and strategic execution steps
• Collaborate with business leadership and technology partners to leverage data to support and optimize efficiencies
• Define, design & implement processes for data integration and data management on cloud data platforms, primarily AWS
• Accountable for management of project prioritization, progress, and workload management across cloud data engineering staff to ensure on-time delivery
• Review and manage the ticketing queue to ensure timely assignment and progression of support tickets
• Work directly with the IT Application Teams and other IT areas to understand, assess requirements, and prioritize a backlog of cloud services needed to be delivered to enable transformation
• Conduct comprehensive need assessments to create and implement modernized serverless data architecture plan that supports the business analytics and reporting needs
• Establish IT Data & Analysis standards, practices, and security measures to ensure effective and consistent information processing and consistent data quality/accessibility
• Help architect cloud data engineering source to target auditing altering solutions to ensure data quality
• Responsible for data architecture, ETL, backup, and security of new AWS-based data lake framework
• Conducts data quality initiatives to rid the system of old, unused, or duplicate data. 
• Oversees complex data modeling and advanced project metadata development.
• Ensures that business rules are consistently applied across different user interfaces to limit the possibility of inconsistent results. 
• Managed architected the migration of on-premise DW SQL server star schema to Redshift 
• Designs specifications and standards for semantic layers and multidimensional models for complex BI projects, across all environments. 
• Consults on training and usage for the business community by selecting appropriate BI tools, features, and techniques.

Required Qualifications:

• A People Leader with strong stakeholder management experience
• Strong knowledge of Data Warehousing concepts with an understanding of traditional and MPP database designs, star and snowflake schemas, and database migration experience, with 10 Years of experience in data modeling. 
• You must have at least 8 years of hands-on development experience using ETL Tools such as Pentaho, AWS Glue, Talend, or Airflow. 
• Knowledge of the architecture, design, and implementation of MPP Databases such as Teradata, Snowflake, or Redshift. 
• 5 years of experience in development using Cloud-based analytics solutions preferable (AWS). 
• Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, and Fivetran Segment. 
• At least 5 years experience in using Python in a cloud-based environment is a plus.
• Knowledge of NoSQL DBs such as MongoDB is not required but preferred. 
• Structured thinker and effective communicator. 

Education / Certifications:

• Bachelors degree in Computer Science, Information Technology, or related fields (MBA or MS degree is a plus) or 15 to 20  years relevant experience in lieu of a degree. 

Work Location / Work Schedule / Travel:

• Remote (Global)

How We Partner To Protect You: Task Us will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of Task Us.

DEI: In Task Us we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. Task Us is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all Task Us career opportunities and apply through the provided URL https://www.taskus.com/careers/.