Senior Data Architect Lead

3 weeks ago


Bengaluru, Karnataka, India Aidetic Full time
Data Engineer 3 Job Description

At Aidetic, we are seeking a highly skilled Senior Data Architect Lead to join our team. This is an exciting opportunity for experienced professionals to take on a leadership role in designing and implementing large-scale data architectures and ETL pipelines.

About the Role

We require a talented individual with extensive experience in big data technologies, including Databricks or Snowflake and Apache Spark. The successful candidate will lead a team of data engineers, providing technical guidance and ensuring best practices are followed.

Main Responsibilities

1. Design and Implementation: Oversee end-to-end design, development, and deployment of data engineering solutions using Databricks or Snowflake for large-scale data processing and integration projects.
2. Team Leadership: Manage and mentor a team of data engineers, providing technical guidance and ensuring best practices are followed.
3. Scalable Solutions: Build and optimize scalable data architectures and ETL pipelines, ensuring data quality, reliability, and performance.
4. Cross-Team Collaboration: Collaborate with DevOps, infrastructure teams, and client stakeholders to optimize the performance and scalability of Databricks or Snowflake clusters.
5. Data Security and Privacy: Ensure adherence to data governance, data security, and data privacy standards within the Databricks or Snowflake environments.

Key Skills and Qualifications

1. 4+ Years of Experience: Extensive experience with big data technologies, including Databricks or Snowflake and Apache Spark.
2. Leadership Abilities: Proven experience in leading and mentoring data engineering teams.
3. Advanced Programming Skills: Strong proficiency in Python, PySpark, Scala, or Java for complex data processing.
4. ETL Expertise: Demonstrated experience in designing and setting up large-scale ETL pipelines from scratch and managing data migration projects.
5. Apache Airflow Proficiency: Expertise in working with Apache Airflow and DAGs for workflow orchestration.
6. Database Mastery: In-depth experience with SQL and relational/NoSQL databases (Elasticsearch, MySQL, MS SQL) for data extraction and manipulation.

Salary Range

The estimated salary range for this position is $140,000 - $160,000 per annum, depending on qualifications and experience.

Benefits and Growth Opportunities

Aidetic offers a comprehensive benefits package, including medical insurance, retirement plans, and paid time off. We also provide opportunities for professional growth and development, as well as a collaborative and dynamic work environment.
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