What are the responsibilities and job description for the Technical Manager- Data & Analytics, TX, 6+ Months- C2H(Need w2 and local to Irving TX candidates) position at Amtex Enterprises?
Job Details
Hi
We have an opening for
Need who can work on w2
Need local candidates.
Need w2 candidates only
Technical Manager-Data & Analytics
Duration: 6 Months - Contract to Hire
Location: Irving TX 75039. Position is 5 days onsite weekly.
Rate: Open on W2
DETAILS
- Top Skills: Azure Data Factory, Data Bricks, Data Modeling/DB Architecture, & SQL Server
- Preferred Skills: automotive or insurance industry, NetSuite or other ERP systems (APIs), and/or relevant certification(s)
- Process: 1. Assessment, 2. Initial Teams interview with Decision Maker, 3. Onsite interview with the Team (40 min) and C-Level Exec (30 min)
DESCRIPTION
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.
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
- 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.
- 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
- Experience with cloud certifications on any platform
