Technical Data Engineering Manager

We are seeking a highly skilled and experienced Technical Engineering Manager for Data Engineers to join our Information Technology team. This role is pivotal in managing workloads across multiple projects and diverse engineering skill sets. The Technical Engineering Manager will be accountable for overseeing the delivery of engineering work from vendors and ensuring that all projects are executed to the highest standards.

Responsibilities

• Manage and coordinate workloads across multiple projects, ensuring efficient use of resources and timely delivery.
• Oversee the engineering work delivered by vendors, maintaining quality and performance standards.
• Lead and mentor a team of data engineers, promoting professional growth and development.
• Lead the team in developing technical solutions that meet business expectations and meet defined development standards and best practices
• Ability to apply a continuous improvement mindset towards designing more effective solutions, building the technical vision for data engineering and making recommendations for the technical needs.
• Collaborate with Data Intelligence team members and business stakeholders to define project requirements, objectives, and timelines.
• Ensure development and adherence to best practices in data engineering and technology.
• Monitor and report on project progress, risks, and issues to the Director of Data Intelligence and Technology.
• Implement and optimize data engineering processes, tools, and methodologies.
  
  

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• MUST: 4+ years with data modeling and ETL development.
• 4+ years with data processing and querying technologies.
• 4+ years with data integration technologies.
• At least 4 years of experience leading a team, preferably multi-location/time zone
• Proven experience in managing workloads across multiple projects
• Strong knowledge and experience with SAP, MS Fabric, Azure Synapse, and/or Azure Data Factory.
• Excellent leadership and team management skills.
• Strong problem-solving and analytical abilities.
• Outstanding communication and interpersonal skills.
  
  

• Experience with cloud-based data solutions and big data technologies.
• Knowledge of data governance and compliance standards.
• Experience in Agile and Scrum methodologies.
• For a Technical Data Engineering Lead, you should consider including the following specific technical skills:
  
  

• Data Warehousing: Experience with designing, implementing, and maintaining data warehouses.
• ETL Processes: Proficiency in Extract, Transform, Load (ETL) processes and tools such as Apache NiFi, Talend, or Informatica.
• Big Data Technologies: Familiarity with big data technologies like Hadoop, Spark, and Kafka.
• Database Management: Strong knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, and Cassandra.
• Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud, including services like Redshift, BigQuery, and Azure Data Lake.
• Programming Languages: Proficiency in programming languages such as Python, Pyspark Java, Scala, or R.
• Data Modeling: Skills in data modeling and schema design.
• Data Governance: Understanding of data governance principles and practices.
• Machine Learning: Basic knowledge of machine learning algorithms and frameworks can be beneficial.