The Role
The role involves leading data engineering and analytics teams, optimizing data systems, collaborating on data pipelines, and managing data infrastructure projects.
Summary Generated by Built In
Comerit is searching for a Manager of Data Engineering and Analytics to lead our client's growing
team of data and analytics engineers. You will be responsible for defining and
managing a long-term vision and portfolio of initiatives to improve the
customer experience and business results through creating world-class data
infrastructure and enabling data-driven analytics. This includes establishing standards and
optimizing our data engineering, data flow and data collection for cross functional
teams.
The ideal candidate is an experienced data pipeline builder and data
wrangler who enjoys optimizing data systems and building them from the ground
up. This candidate also demonstrates
skills in working with multiple business areas and can analyze their data
requirements in a harmonious way to optimize both the data landscape as well as
the analytics around it.
The
Manager Data Engineering and Analytics will support our client's Enterprise Data
Architect and lead a team of Data Engineers and BI Analysts on data initiatives
and will ensure optimal data delivery architecture is consistent throughout
ongoing projects. They must be self-directed and proficient at supporting the
data needs of multiple teams, systems, and products. The right candidate will
be excited by the prospect of optimizing or even re-designing our company’s
reporting and analytics infrastructure to support our next generation of
products and data initiatives.
This person will:
- Collaborate on the
creation and maintenance of optimal data pipeline architectures
- Identify,
design, and implement internal process improvements: automating manual
processes, optimizing data delivery, re-designing infrastructure for greater
scalability, etc.
- Work with peers
to build the infrastructure required for optimal extraction, transformation,
and loading of data from a wide variety of data sources using SQL and AWS ‘big
data’ technologies
- Lead a team to assemble large,
complex data sets that meet functional / non-functional business requirements
- Build analytics
tools that utilize the data pipeline to provide actionable insights into
customer acquisition, operational efficiency, and other key business
performance metrics
- May also be
called on to perform tasks related to Data Engineering and setting up analytics
environment
- Work with stakeholders
including the Executive teams to assist with data-related technical issues and
support their data infrastructure needs
- Keep our client's data
separated and secure across national boundaries through multiple data centers
and AWS regions
- Work with data
and analytics experts to strive for greater functionality in our data systems.
- Analyze,
validate, prioritize, and provide cost estimates for service requests and
project work
- Develop and
maintain an analytics roadmap in conjunction with the overall Data Architecture
roadmap
- Work with
project managers to develop project plans and manage to the plans
- Develop and
publish standards that govern the data engineering and analytics domain.
- Establish
service delivery metrics for service requests and project work.
- Perform career management functions for the data
analytics team including establishing annual goals and development plans,
annual reviews, and compensation planning.
Requirements
Experience with
AWS S3, Sagemaker, Step Functions and other AWS toolsets
Experience with
Microsoft SQL Server
Experience with
Boomi or other IPaaS tools
Experience with
Extract, Transform and Load (ETL) methodologies and tools
Experience with
Python or R scripting.
Knowledge of SAP and SAP data structures
preferred or similar ERP tools.
Ability
to manage multiple projects
Work with upper management
Skills Required
- Experience with AWS S3, Sagemaker, Step Functions and other AWS toolsets
- Experience with Microsoft SQL Server
- Experience with Boomi or other IPaaS tools
- Experience with Extract, Transform and Load methodologies and tools
- Experience with Python or R scripting
- Knowledge of SAP and SAP data structures preferred or similar ERP tools
- Ability to manage multiple projects
- Work with upper management
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The Company
What We Do
Comerit is a global management consulting firm specializing in data transformation, advanced analytics, SAP modernization, AI, and business intelligence solutions. They partner with Fortune 500 companies to maximize strategic data investments and turn complexity into competitive advantage.
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