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Sr. Business Intelligence Manager

Remote: 
Full Remote
Contract: 
Full time
Work from: 
United States

Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred., Proven experience in data engineering with leadership or managerial capacity., Strong proficiency in data modeling, ETL/ELT processes, and cloud-based data platforms., Excellent leadership, communication, and problem-solving skills..

Key responsabilities:

  • Lead and manage a team of data engineers to develop and maintain data pipelines.
  • Collaborate with stakeholders to translate data requirements into technical solutions.
  • Oversee the implementation of data governance policies to ensure data quality and compliance.
  • Drive innovation in data engineering technologies and provide mentorship to team members.

OP360 (OfficePartners360) logo
OP360 (OfficePartners360) SME https://www.OP360.com/
1001 - 5000 Employees
See all jobs

Job description

This is a remote position.

Responsibilities:

1. Lead and manage a team of data engineers to design, develop, and maintain scalable data pipelines and infrastructure.
2. Define and implement best practices for data engineering processes, including data ingestion, transformation, storage, and retrieval.
3. Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
4. Oversee the implementation of data governance policies and standards to ensure data quality, security, and compliance.
5. Manage resources, priorities, and timelines to deliver data engineering projects on time and within budget.
6. Drive innovation and continuous improvement in data engineering technologies, tools, and practices.
7. Provide technical guidance and mentorship to team members, fostering their professional growth and development.
8. Evaluate and recommend new technologies and platforms to enhance the organization's data capabilities.
9. Monitor and optimize performance of data systems to meet SLAs and performance targets.
10. Communicate effectively with stakeholders to provide updates, gather feedback, and address concerns related to data engineering initiatives.

Requirements
Qualifications:

1. Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.
2. Proven experience (X years) in data engineering or related roles, with at least X years in a leadership or managerial capacity.
3. Strong proficiency in data modeling, ETL/ELT processes, and data warehousing concepts.
4. Hands-on experience with cloud-based data platforms such as AWS, Azure, or GCP.
5. Proficiency in programming languages such as Python, Java, or Scala.
6. Experience with big data technologies such as Hadoop, Spark, or Kafka.
7. Solid understanding of database technologies (SQL, NoSQL) and data integration techniques.
8. Excellent leadership, communication, and interpersonal skills.
9. Ability to manage multiple projects simultaneously and prioritize effectively.
10. Strong problem-solving and analytical abilities, with attention to detail.


Preferred Skills/Attributes:

1. Experience with containerization and orchestration tools such as Docker and Kubernetes.
2. Familiarity with machine learning and data science concepts.
3. Certification in relevant technologies (e.g., AWS Certified Big Data - Specialty).
4. Experience working in Agile or Scrum environments.
5. Knowledge of DevOps practices and CI/CD pipelines.
6. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data ModelingData EngineeringETL (Extract Transform Load)Cloud ComputingData IntegrationPython (Programming Language)Apache KafkaSQL (Programming Language)NoSQLScala (Programming Language)Java (Programming Language)Data Warehouse ArchitecturesApache SparkApache HadoopAgile Software DevelopmentScrum (Software Development)KubernetesAWS Big DataCI/CDDocker (Software)DevOpsMachine Learning

Other Skills

  • Communication
  • Leadership
  • Time Management
  • Analytical Thinking
  • Social Skills
  • Problem Solving
Are you interested?

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