Job Description
Must be local to TX
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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, excellent leadership skills, and a commitment to data security and compliance.
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Key Responsibilities:
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· Lead and mentor a team of data engineers, promoting a culture of collaboration and excellence.
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· Design and implement robust data architectures and pipelines to support analytics and business intelligence, while ensuring data security protocols are followed.
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· Collaborate with cross-functional teams to define data requirements and ensure data availability and integrity.
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· Oversee data quality management, ensuring accuracy and reliability of data across systems.
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· Establish and enforce data security policies and best practices to protect sensitive information.
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· Drive the adoption of best practices in data engineering, including data modeling, ETL processes, and data governance.
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· Manage project timelines, ensuring that data engineering initiatives align with business goals.
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· Stay current with industry trends and emerging technologies to enhance our data capabilities.
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Qualifications:
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· Bachelor’s degree in computer science, Engineering, or a related field.
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· More than 12 years of experience in software development, with atleast 5 years in a leadership role.
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· Proficiency in data engineering tools and technologies (e.g. Microsoft SQL Server, Databricks, NoSQL-MongoDB or Dynamo DB).
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· Strong understanding of ETL processes, data warehousing, and data modeling (e.g. Apache Kafka, Microsoft Azure Data Factory, Snowflake).
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· Experience with cloud platforms (Azure) and data pipeline orchestration tools (e.g., Apache Airflow).
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· Excellent problem-solving skills and attention to detail.
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· Strong communication and interpersonal skills.