At Vista, we are redefining how data is leveraged to drive business growth and for enabling AI and ML. We are seeking a hands-on Data Architect who will design and actively lead the development of our robust data architecture.  As a Data Architect, you will lead data engineers in cross-functional teams, playing a critical role in building and optimizing the data infrastructure that powers real-time analytics and ML driven business insights. This is a hands-on role where you will be coding, testing, and troubleshooting alongside the team, ensuring high-quality delivery at all levels of the data stack.  

Hands-On Development:

Design, develop and deploy reusable and resilient data pipelines using industry leading tools, frameworks, and best practices. Writing high-quality code and ensuring solutions are scalable, secure, and efficient.  

Cloud Infrastructure:

Build and optimize cloud-based data platform. This includes creating and managing data lake, data warehouse, and data mart.  

Streaming Data Solutions:

Architect and implement streaming data pipelines for high- throughput, low-latency processing.   

Data Integration:

Design and develop data integration across multiple data sources, ensuring data integrity and consistency across the data domains.  

Data Quality & Validation:

Establish and implement automated data validation and testing frameworks, ensuring data accuracy, completeness, and reliability.  

AL & ML Enablement:

Build and maintain highly available and scalable data infrastructure to support AI and ML workflows for complex machine learning models and large datasets. Collaborate with data scientists and machine learning engineers to provide easy to use and secure environment for model development and deployment. 

Cross-Functional Collaboration:

Work closely with data engineers and business stakeholders to translate business needs into technical solutions. Be a hands-on contributor in building prototypes, proof of concepts, and production systems.  

Data Modeling:

Design and implement data models for both operational and analytical use cases. Data Models must ensure data security, integrity, availability, performance and scalability by design.  

Data Governance:

Implement and enforce data governance best practices, including metadata management, data lineage, and security policies. Ensure compliance with regulatory standards and internal data policies.  

Automation & Infrastructure as Code (IaC):

Leverage Infrastructure as Code tools  

(Terraform) to automate deployment and management of cloud infrastructure. Design CI/CD pipelines to automate testing and deployment of data pipelines and infrastructure.  

Mentorship & Leadership:

Provide technical leadership, mentor team members and foster a culture of collaboration and knowledge sharing. Conduct code reviews for maintaining high-quality code.

Experience:

7+ years of experience in data engineering, with at least 3 years in hands-on technical leadership or architecture roles.  

Hands-On Expertise:

Expert level coding skill in Python, Scala, JavaScript or similar language. Proficiency in SQL, DAX and Power Query. Must be hands-on and able to dive deep into solving technical problems and building innovative solutions.  

Cloud Data Platforms:

Expert-level experience implementing lake-house architecture using Snowflake and Apache Iceberg or similar technologies on Microsoft Azure or another public cloud.  

Data Pipeline & Orchestration Tools:

Hands-on experience with building and optimizing resilient data pipelines using Azure Data Factory, Fivetran, dbt or similar ELT tools for data from a variety of data sources. In-depth understanding of Snowflake Task, Stream, Dynamic Table and Data Sharing.  

Data Modeling & Design:

Extensive experience in designing and implementing data models using dimensional or data vault 2.0 data modeling techniques.  

Data Visualization:

Experience with authoring reports and dashboards in Power BI, Sigma or similar BI tools.  

Vista is a leading global investment firm that exclusively invests in enterprise software, data and technology-enabled organizations across private equity, permanent capital, credit and public equity strategies, bringing an approach that prioritizes creating enduring market value for the benefit of its global ecosystem of investors, companies, customers and employees. Vista’s investments are anchored by a sizable long-term capital base, experience in structuring technology-oriented transactions and proven, flexible management techniques that drive sustainable growth. Vista believes the transformative power of technology is the key to an even better future – a healthier planet, a smarter economy, a diverse and inclusive community and a broader path to prosperity. Further information is available at vistaequitypartners.com. Follow Vista on LinkedIn, @Vista Equity Partners, and on X, @Vista_Equity.