Skip to main content

This job has expired

Sr. Data Architect (REMOTE)

Employer
Lamoreaux Search
Location
Milwaukee
Salary
Competitive

View more

Senior Data Architect

Our client, a fast-growing, digitally enabled non-profit that improves benefits access for thousands of underserved people, has almost doubled in size and the data demands are growing exponentially. Our client needs a capable, mission-driven Senior Data Architect to lead the definition and development of their new Google Cloud data platform and manage the current data infrastructure. Our client embraces Data4Good.


Based in their Center City Philadelphia office, the Senior Data Architect reports to the Director of Data.


As a technical leader in the Data department, your areas of primary focus will be:

?? Define the platform data architecture on Google Cloud Platform, including supporting the enablement of machine learning productionization capabilities and collecting inputs from teams around the organization.

?? Lead the data platform development, including the transition and cutover plan from the existing approach to the new platform.

?? Coordinate Data Architecture by defining the client's data architecture framework, standards, and principles and by providing guidance to the director and colleagues on a technical approach. Present and review proposals at the Architectural Review Board.

?? Collaborate with internal customers to identify ongoing platform improvements (teams including Analytics, Projects, Policy, Software Engineering, and others throughout the organization).

?? Manage the implementation of data governance in the platform, including security, role-based access, and other features as appropriate.

?? Define and establish data access and performance design standards for the data platform, Looker Business Intelligence Platform, and all products and services accessing the client's information.

?? Implement continuous improvements with the Data Engineering team using the existing tools/technologies, including SQL, Airflow, Python, Docker/Kubernetes, and others such as Terraform and Apache Beam. May also be required to research and select other tools when the situation demands.

?? Demonstrate and reinforce key attributes & values of the department, including curiosity, critical thinking, drive to completion, empathy, and a focus on impact.


Successful candidates will demonstrate the following through their experience:

?? Communication and Relationship-building - with both technical and non-technical peers and stakeholders.

?? Cloud-based Solution Architecture- for data platforms and infrastructure, including event- driven architectures, microservices and pattern design, and supporting compliance and regulated environments (including PII and PHI).

?? Workflow and pipeline design to ensure reliability, availability, and consistency.

?? Systems Engineering - orchestrating services, containers, and servers - typically in *nix environments.

?? Data Modeling and Warehousing - schema and model design across structured and unstructured data and use cases including machine learning, BI, and Analytics - all the way through to implementation oversight.

?? Automation, monitoring, and alerting - pattern design and implementation oversight.

?? Cloud engineering - certification on any of the major hyper-scale cloud platforms.

?? Data Encapsulation & Transfer methodologies - designed for all formats and methods, including queuing methods.

?? Also interested in relevant experience including:

o Experience with BI implementations/uplifts (currently using Looker) and/or Data Governance models and methods.

o Machine learning techniques, productionizing machine learning models, and/or creating models.


Send your resume today if you want to help shape the data future of this amazing organization!

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert