Solution Architect – Data

Synergy Staffing; United States; Remote; USD 125,000 - 150,000; Full time

Job summary

An innovative staffing firm is seeking a Data Solution Architect to drive data architecture strategies and collaborate with stakeholders. In this pivotal role, you will evaluate and design prototypes for integrating data from various sources, ensuring scalable solutions that align with business goals. The ideal candidate will have extensive experience with cloud-based data warehouses, ETL/ELT solutions, and BI tools, along with strong communication skills to foster collaboration across teams. Join a dynamic environment where your expertise will impact the future of data-driven decisions and solutions.

Qualifications

• 7+ years of experience in software/data engineering and architecture.
• 2+ years in scaled cloud data engineering technologies.
• Ability to develop and maintain relationships with stakeholders.

Responsibilities

• Drive and implement data architecture strategies for long-term goals.
• Collaborate with stakeholders to leverage data as a strategic asset.
• Create and deliver artifacts that assess business and systems impact.

Skills

Cloud-based data warehouses

ETL/ELT data solutions

Databricks

BI tooling

Cloud-native Service architectures

End-to-End Scalability

Data design

Excellent communication skills

Stakeholder relationship management

Education

Bachelor’s degree in Computer Science

Equivalent Experience in Information Technology

Tools

Snowflake

Big Query

Synapse

PowerBI

Qlik

MicroStrategy

Tableau

Looker

Azure

Kubernetes

Job description

As the Data Solution Architect, you will:

1. Drive and implement data architecture strategies that support our long-term business goals.
2. Collaborate with business stakeholders to map business goals into technology capabilities leveraging data as a strategic asset across multiple channels including online, in-store, mobile apps, and 3rd party platforms.
3. Evaluate, design and demonstrate prototypes for integrating data from multiple 1st and 3rd party sources to create a unified view of enterprise data delivery and storage solutions.
4. Work closely with Product Engineering teams to establish Enterprise domain data models, data integration patterns, data governance & lineage, and data platform decisions to accelerate delivery of business data and analytics solutions.
5. Ensure the proposed solutions are designed to scale and meet the foundational technology guiderails of platforms alignment, security controls, reliability & performance, and cost management.
6. Create and deliver artifacts that assess business & systems impact, document current & transitional system designs, and evaluate non-functional requirements to ensure alignment with foundational technology and planning, and drive adoption of these solutions across teams.
7. Assess and mitigate technology design risks, impacts, and dependencies to drive adoption of data architecture standards and best practices and support technology roadmap planning.

To be successful in this role, experience in several areas of our technology stack is desired:

1. Cloud-based data warehouses – Snowflake, Big Query, Synapse.
2. ETL/ELT data solutions with Medallion architectures.
3. Databricks with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT).
4. BI tooling such as PowerBI, Qlik, MicroStrategy, Tableau or Looker.
5. Cloud-native Service architectures with Microsoft Azure & Kubernetes.
6. End-to-End Scalability, Reliability, and DR solutioning.
7. Data design using tools such as Erwin data modeler a plus.

QUALIFICATIONS:

1. Bachelor’s degree or Equivalent Experience in Computer Science, Information Technology, or related field.
2. 7+ years of hands-on experience in software/data engineering and architecture.
3. 2+ years of experience in scaled cloud data engineering technologies.
4. Excellent communication and presentation skills.
5. Demonstrated experience in developing cloud service architectures & solutions.
6. Ability to understand the business context and outcomes of the domain.
7. Ability to work on multiple projects simultaneously.
8. Ability to develop and maintain relationships with stakeholders.
9. Ability to collaborate with teams across multiple departments and functions.
10. Ability to publish professional architecture artifacts and documentation.
11. Ability to provide technical recommendations to technology teams.