MANAGER II DATA ARCHITECTURE & ANALYSIS

Overview

On Site
Full Time

Skills

Data architecture
Data processing
Business requirements
Emerging technologies
Data engineering
Team management
Asset management
Data warehouse
Big data
Unstructured data
Data modeling
Extract
transform
load
Project delivery
Stakeholder management
SAP HANA
SAP BI
SAP ERP
Business Objects
Computer science
Information systems
Pivotal
Data
Collaboration
C
Design
Leadership
Management
Mentorship
Optimization
Scalability
FOCUS
Data Lake
Streaming
Business intelligence
Artificial intelligence
Cloud computing
SAP
MES
Salesforce.com
Communication
Amazon Web Services
Tableau
Machine Learning Operations (ML Ops)

Job Details

Location: Middletown, PA
Salary: Negotiable
Description: Our client is currently seeking a MANAGER II DATA ARCHITECTURE & ANALYSIS

Job Overview: As a Manager of Data Architecture, you will play a pivotal role in making data usable and valuable for others. Your responsibilities will include designing, building, operationalizing, securing, and monitoring data processing systems. You'll collaborate with cross-functional teams, business partners, and stakeholders, including C-suite executives, to understand business requirements and provide solutions that align with the organization's goals. Additionally, you'll stay abreast of emerging technologies and best practices in data engineering.

Key Responsibilities:
  • Design and Development: Lead the design, development, and implementation of data architectures, data pipelines, and data systems.
  • Team Management: Manage a team of data engineers, providing technical guidance and mentorship.
  • Collaboration: Collaborate with cross-functional teams to promote best practices, trade-offs, and solutions that meet business requirements.
  • Data Asset Management: Develop and maintain data as a valuable organizational asset.
  • Optimization: Optimize data processes for efficiency, reliability, and scalability.
  • Subject Matter Expertise: Act as a subject matter expert for end-to-end data pipelines.
  • Large-Scale Solutions: Operate large-scale data warehouse solutions and big data platforms.
  • Continuous Learning: Stay up-to-date with emerging technologies and trends in data engineering.

What Your Background Should Look Like:
  • Experience: Overall 10+ years of experience in building complex IT solutions, with a strong focus on data pipelines (Data Engineering, Data Warehousing, DataLake, DeltaLake, Bigdata, Data Streaming, unstructured data, and data modeling for BI/AI solutions).
  • Leadership: 5+ years of experience leading global technical teams and managing senior-level stakeholders.
  • Technical Skills: Strong hands-on experience in data architecture, data modeling, cloud data engineering, and ETL processes.
  • Scaling Teams: Accomplished in scaling teams, managing multiple geographic locations, and inspiring high-quality project delivery using both cloud and on-premises platforms.
  • Data Environment Expertise: Proficient in dealing with data environments characterized by high data variability and volume.
  • Integration: Expertise in integrating data pipelines from various systems, including SAP, MES, Salesforce, Clickstream, Chatbot, and external unstructured data using various ingestion patterns.
  • Stakeholder Management: Demonstrated ability to build consensus among diverse stakeholders.
  • Communication: Excellent communication skills, with the ability to interact effectively with end-users and technical resources at all levels.


We Value

AWS certification

Prior working experience with SAP HANA, SAP BW or other tools compatible with SAP ERP environments

Having prior experience with one or more SAP ERP functional module

Prior experience using SAP BOBJ or Tableau or other Viz tools

Prior experience working with Data Scientists and MLOPS teams

Education

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!

About Judge Group, Inc.