Data Solutions Architect Lead

2 days ago


Chennai, Tamil Nadu, India Wavicle Data Solutions Full time

Wavicle Data Solutions is seeking a highly experienced Data Solutions Architect Lead to join our team.

Estimated salary for this role in the United States: $160,000 - $240,000 per year.

About the Role

We are looking for a seasoned professional with a strong background in data engineering and analytics. The ideal candidate will have experience leading cross-functional teams and overseeing end-to-end project management for complex data initiatives.

The successful candidate will be responsible for collaborating with stakeholders to define project scope, goals, and deliverables. They will also develop and maintain detailed project plans, including timelines, resources, and budgets.

The Data Solutions Architect Lead will implement Agile methodologies, particularly Scrum, to ensure efficient project execution. They will facilitate daily stand-up meetings, sprint planning, and retrospectives to keep the team aligned and on track.

In addition, the successful candidate will architect scalable and efficient data solutions using Python and PySpark. They will utilize cloud platforms such as AWS or Azure to build and maintain data infrastructure.

The Data Solutions Architect Lead will also collaborate with cross-functional teams to define data strategies and deliver solutions. Proficiency in AWS Glue or Azure ADF for ETL processes is required, and previous experience with ETL tools like Talend or Informatica is preferred.

The successful candidate will provide regular project status updates and reports to senior management. They will mentor and coach team members, promoting their growth and development.

The Data Solutions Architect Lead will ensure project deliverables meet quality standards and data best practices. They will stay current with industry trends and emerging technologies in data management.

Requirements

  • Bachelor's degree in computer science, information technology, or a related field.
  • Proven experience in managing data-related projects, including data engineering and analytics.
  • Strong knowledge and practical experience with Agile methodologies, particularly Scrum.
  • Exceptional team management and leadership skills.
  • Excellent communication and interpersonal abilities.
  • Ability to work effectively with cross-functional teams and stakeholders.
  • Strong problem-solving and decision-making skills.
  • Project management certification (e.g., PMP, Scrum Master) is a plus.
  • Familiarity with data management concepts, technologies, and best practices is preferred.
  • Minimum of 8-9 years of experience in data engineering.
  • Expertise in Python, PySpark, AWS/Azure, Databricks/Snowflake, and SQL.
  • Strong data modeling skills and deep understanding of data warehousing.

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