Technical Manager
- Prudent Consulting
15 Days Ago
NA
NA
Irving-TX
8-12 Years
Required Skills: Data engineering, data analytics, database architecture, dimensional data modeling, data factory, Python, SQL, Agile, data pipelines, Git, Jira, Automative repair and insurance industry experience, Cloud certification
Job Description
Job Title: Technical Manager, Data and Analytics
Location: Onsite - Irving Texas 75039
Duration: Direct Hire
On-site 5 days a week
Need candidates that are the right kind of personality/culture fit to help elevate the team and lead/mentor.
We need someone who has that management experience but has a VERY strong Data Engineer background with at least 4-5 years of Azure Data Factory. A lot of candidates we have seen/talked to have a lot of experience but expertise in the wrong tools.
We need someone who has major Azure Data Factory experience and can be extremely hands on. Need a resource that has led teams and has the management piece but the other half of it is the technical piece and being able to dive in the weeds and support the team members.
Needs to have managerial/team lead experience. They will be leading/supporting/mentoring the current data team.
Must have excellent communication. Will be Dan's right hand and the liaison between Nobilis and partner data teams.
Has to be extremely technical and hands on. We do not want someone who has just overseen projects. We need someone who can jump right in.
They need to have a diverse range of skillsets to support all projects. Very relevant Azure DF experience required.
Assessment is the first interview, followed by a Teams call, & an on-site technical interview with client manager and the data team.
Technical Manager, Data and Analytics
As a member of the Data and Analytics team, the Technical Manager of Data and Analytics plays a pivotal role in both daily operations and the strategic direction of the organization’s data assets. This role combines technical expertise with strong leadership and managerial skills to drive the success of data initiatives, foster collaboration, and enable business growth through data-driven decision-making. The ideal candidate will be a seasoned data engineer with proven managerial capabilities and a track record of building high-performing teams.
Job Responsibilities:
Leadership and Team Management:
- Lead and mentor a team of data engineers and analysts, fostering a collaborative and innovative environment.
- Set clear goals and expectations for team members, provide regular feedback, and conduct performance evaluations.
- Drive professional development by identifying training opportunities and fostering a culture of continuous learning.
- Recruit, onboard, and retain top talent to ensure the team’s success and scalability.
Technical Oversight:
- Guide design, build, and maintenance of scalable data pipelines in Azure.
- Lead development of architecture to ensure data accessibility and support BI efforts.
- Oversee implementation of scalable API-based integrations.
- Ensure creation and support of optimal ETL/ELT processes from diverse data sources.
- Monitor and improve data quality, reliability, and efficiency through system design.
Collaboration and Stakeholder Engagement:
- Act as a liaison between the data engineering team and other business units, ensuring alignment of data initiatives with business objectives.
- Partner with report developers, analysts, and business teams to optimize data models and improve data-driven insights.
- Facilitate cross-departmental communication to identify and integrate external data sources and support organizational needs.
Project and Process Management:
- Manage multiple data-related projects simultaneously, ensuring timely delivery and alignment with strategic goals.
- Establish and enforce standards for monitoring, troubleshooting, and resolution.
- Implement and promote DevOps practices, including CI/CD, version control, and agile methodologies.
Qualifications:
Education:
- BS or MS degree in Computer Science, Information Systems, or a related field.
- Microsoft DP-203 certification preferred.
Experience:
- 7+ years of experience in data engineering and/or analytics.
- 5+ years of experience in database architecture and dimensional data modeling.
- 2+ years of experience managing or leading technical teams.
- 3+ years working with data processing systems in Azure (Data Factory).
- Strong experience with Python, SQL, and Agile development methodologies.
Skills:
- Mastery in designing and maintaining scalable data pipelines.
- Strong problem-solving, troubleshooting, and documentation skills.
- Exceptional communication and interpersonal skills.
- Proven ability to manage priorities and deliver high-quality results under tight deadlines.
- Familiarity with DevOps tools such as Git and Jira.
- Experience with data migration activities and large-scale data integration projects.
Nice to Have:
- Experience in automotive repair and/or insurance industries
- Cloud certifications on any platform.
