Chief Data Architect

2 days ago

Indore, Madhya Pradesh, India TaskUs Full time

About TaskUs: As a fast-growing technology company, we are constantly seeking innovative solutions to drive business growth. Our next-generation customer experience is built on a cloud-based infrastructure that serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.

We prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our inclusive environment and positive impact on the community make us an attractive choice for talented professionals like you.

What We Offer: At TaskUs, we encourage internal mobility and professional growth at all stages of an employee's career within our organization. With departments dedicated to Total Rewards, Wellness, HR, and Diversity, we provide a supportive ecosystem for our employees to thrive.

About the Role: As a Director of Data Engineering, you will manage a geographically diverse team responsible for ETL processes, data integration, and data management on cloud platforms, primarily AWS. Your expertise in BI architecture, data warehousing, and cloud-based analytics solutions will enable you to champion strategic projects and initiatives that drive business objectives.

Key Responsibilities:

  • Manage a team of managers/senior managers of data engineering responsible for ETL processing, data transformation, and attribute derivation from various transactional systems.
  • Sets and enforces BI standards and architecture, aligning with enterprise architecture.
  • Partner with business leaders and stakeholders to design, develop, launch, and manage cloud data engineering projects and initiatives.
  • Define cloud data engineering strategy, roadmap, and execution steps.
  • Collaborate with business leadership and technology partners to leverage data for optimization and efficiency.
  • Design and implement processes for data integration and data management on cloud platforms.
  • Accountable for project prioritization, progress, and workload management across cloud data engineering staff.
  • Review and manage ticketing queues to ensure timely assignment and progression of support tickets.
  • Work directly with IT application teams and other IT areas to understand, assess requirements, and prioritize cloud services needs.
  • Conduct need assessments to create and implement modernized serverless data architecture plans.
  • Establish IT data and analysis standards, practices, and security measures.
  • Help architect cloud data engineering source-to-target auditing and altering solutions.
  • Responsible for data architecture, ETL, backup, and security of new AWS-based data lake frameworks.
  • Conduct data quality initiatives to eliminate old, unused, or duplicate data.
  • Oversee complex data modeling and advanced project metadata development.
  • Ensure business rules are consistently applied across different user interfaces.
  • Managed architected the migration of on-premise DW SQL Server star schema to Redshift.
  • Design specifications and standards for semantic layers and multidimensional models.
  • Consults on training and usage for the business community.

Required Qualifications:

  • A people leader with strong stakeholder management experience.
  • Strong knowledge of data warehousing concepts, traditional and MPP database designs, star and snowflake schemas, database migration experience, with 4-5 years of experience in data modeling.
  • At least 5 years of hands-on development experience using ETL tools such as Pentaho, AWS Glue, Talend, or Airflow.
  • Knowledge on 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, preferably AWS.
  • Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, Fivetran Segment.
  • At least 5 years of experience using Python in a cloud-based environment, which is definitely a plus.
  • Knowledge on NoSQL DBs such as MongoDB is not required but preferred.
  • Structured thinker and effective communicator.

Estimated Salary: $170,000 - $200,000 per year

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