Data Engineering Manager: Lead Pipelines & Data Security

Anblicks Inc.; Dallas (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

Anblicks Inc. is seeking a Data Engineering Manager to oversee the design, development, and maintenance of our data infrastructure and pipelines. The ideal candidate will have a strong technical background in data engineering, leadership skills, and a commitment to data security and compliance.

You will lead a team of data engineers, design robust data architectures, collaborate with cross-functional teams, and ensure data availability, integrity, and security across analytics platforms.

Qualifications

• Bachelor's degree in computer science, engineering, or related field.
• 12+ years in software development with at least 5 years in leadership.
• Experience with data engineering tools and technologies listed above.
• Strong ETL, data warehousing, and data modeling knowledge.

Responsibilities

• Lead and mentor a team of data engineers, promoting collaboration and excellence.
• Design and implement robust data architectures and pipelines, ensuring security.
• Collaborate with cross-functional teams to define data requirements and ensure data availability.
• Oversee data quality management and data integrity across systems.
• Establish and enforce data security policies and best practices.
• Drive adoption of data engineering best practices including data modeling, ETL, and governance.
• Manage project timelines to align with business goals.
• Stay current with industry trends to enhance data capabilities.

Skills

Leadership

Communication

Data security

Problem-solving

Education

Bachelor's degree in computer science or related field

Tools

Microsoft SQL Server

Databricks

NoSQL (MongoDB or DynamoDB)

Apache Kafka

Microsoft Azure Data Factory

Snowflake

Apache Airflow

Job description

Anblicks Inc. is seeking a Data Engineering Manager to oversee the design, development, and maintenance of our data infrastructure and pipelines. The ideal candidate will have a strong technical background in data engineering, leadership skills, and a commitment to data security and compliance.

You will lead a team of data engineers, design robust data architectures, collaborate with cross-functional teams, and ensure data availability, integrity, and security across analytics platforms.