Data Architect
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+8 more
Job description
Insight Enterprise is seeking a highly skilled and experienced Data Architect to join our Data Management team. In this role, you will be the backbone of our data infrastructure, responsible for building and maintaining the robust data pipelines that power our AI and analytics initiatives, as well as our most critical enterprise systems. You will work with cutting-edge technologies and play a crucial part in ensuring our data is clean, reliable, and accessible.
As an Architect I you will:
- Maintain and manage our enterprise-wide data lakehouse architecture, ensuring its scalability, performance, and security.
- Manage and optimize the data lakehouse environment, including the Databricks platform, to support both data science and business intelligence needs.
- Build, construct, and manage complex Extract, Transform, and Load (ETL) processes and data pipelines to ingest and transform data from a variety of internal and external sources.
- Implement robust data quality checks and monitoring to ensure the integrity and reliability of all data assets.
- Partner closely with business stakeholders to understand data requirements and ensure the necessary data is available and optimized for business use cases.
Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career., We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include:
- Freedom to work from another location-even an international destination-for up to 30 consecutive calendar days per year.
- Access to 11 thriving and diverse Teammate Resource Groups
But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.
Requirements
- Minimum of 5 years of experience in data engineering, building and managing production data pipelines.
- Data Lakehouse: Expertise with Databricks for building and managing a data lakehouse.
- Cloud: Hands-on experience with data services in GCP and Azure.
- ETL/ELT: Strong proficiency in building and optimizing ETL processes.
- Programming: Proficient in Python and SQL. Familiarity with Java is a plus.
- Data Platforms & Analytics: Experience working with internal data platforms like Informatica and a solid understanding of data modeling for analytics platforms such as the Power BI analytics suite.
Benefits & conditions
3.53.5 out of 5 stars Chandler, AZ Hybrid work $130,000 - $140,000 a year
About the company
Insight at a Glance
- 14,000+ engaged teammates globally
- $8.2 billion in revenue in 2025
- Certified as a Great Place to work in 9 Countries in 2025
- Fortune 500 Company (No. 447) in 2025
- Received 25+ industry and partner awards in the past year
- $1.4M+ total charitable contributions in 2024 by Insight globally
Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions., At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you!
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.indeed.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Top Big Data Technologies That You Need to Know
Data Engineer Salary UK
How to Become an AI Engineer
Highest Paying Tech Companies for Developers