Enterprise Data Architect

MathCo; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

MathCo is seeking an experienced Enterprise Data Architect in the United States to lead data architecture initiatives for enterprise analytics. You will drive data modeling, pipelines, and warehousing across cloud platforms (Azure/AWS/GCP) and Databricks, guiding engineers and collaborating with cross-functional teams to deliver scalable solutions.

The role emphasizes architectural leadership, client-facing collaboration, and adherence to strong ethics.

Qualifications

• Enterprise Data Architect with 9+ years of experience in cloud data platforms (Azure/AWS/GCP) and data modelling.
• Deep experience with Databricks and temporal data models; scalable data architecture.
• Ability to guide data engineers and collaborate with cross-functional teams in agile environments.

Responsibilities

• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively.
• Coach others, recognize their strengths, and encourage them to take ownership of their personal development.
• Analyze complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub-standard work or work that does not meet firm's/client's expectations.
• Use data and insights to inform conclusions and support decision making.
• Develop a point of view on key global trends, and how they impact clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplify complex messages, highlighting and summarizing key points.
• Uphold the firm's code of ethics and business conduct.

Skills

Azure

AWS

GCP

Databricks

Data modeling

ETL/ELT

Data warehousing

SQL

DevOps

Communication skills

Tools

Databricks

Azure Cloud

AWS Cloud

GCP Cloud

Job description

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advancedanalytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.

For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work.We provide excitinggrowth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.

ROLE DESCRIPTION

We are looking for passionate individuals to help our clients solve complex challenges enabling their sustained analytics transformation. As a member of our Client Services team, you will lead a team of Associates and Senior Associates who design, execute, and implement cutting edge analytical solutions. You are responsible for institutionalizing data driven insights and recommendations to bring customer strategies to life. An ideal candidate should be able to manage client engagements and relationships while leading internal teams. Your role will involve

generating insights and developing recommendations and communicating strategy and delivery plan with clients. The candidate will become familiar with the strategic direction of our customers and help them translate their goals into action on existing projects while also developing a pipeline of additional project.

JobResponsibilities

As a Enterprise Data Architect, you will:

• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively
• Coach others, recognize their strengths, and encourage them to take ownership of their personal development
• Analyze complex ideas or proposals and build a range of meaningful recommendations
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations
• Address sub-standard work or work that does not meet firm's/client's expectations
• Use data and insights to inform conclusions and support decision making
• Develop a point of view on key global trends, and how they impact clients
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties
• Simplify complex messages, highlighting and summarizing key points
• Uphold the firm's code of ethics and business conduct

Being a Mathemagician

• Understand & embody MathCo’s culture and way of working.
• Demonstrate an ownership mindset to drive results, striving for excellence.
• Engage actively and contribute to initiatives fostering company growth.
• Support diversity and understand different perspectives.

Required Educational Qualifications

• Enterprise Data Architect with 9+ years of work experience in Azure/AWS/GCP Stack – services core to data modelling, integration, infrastructure, devops, realtime integration
• Experience in the Databricks plus
• Proficient in building temporal data models and has demonstrated scalable data model builds
• Guide and coach the data engineers / business teams when needed and can be hands on during high demand workloads
• Excellent communication skills to bridge the knowledge gaps in the ecosystem
• Participate in architectural discussions to build confidence and ensure customer success when building new, or migrating existing, applications, software and services on the Azure cloud platform
• Strong experience in data pipelines, ETL design (both implementation and maintenance) and data warehousing
• Worked collaboratively with cross-functional teams and stakeholders to achieve an organizational goal
• Worked in an agile environment and are comfortable running an agile process for the data and analytics team
• Has advanced skills in SQL, data modeling, ETL/ELT development, and data warehousing

Preferred Qualifications

• Consulting background is a plus

PLEASE NOTE:

Candidates must be legally authorized to work in the United States.