Data Architect

Company Description

BLEND360 is an award-winning, new breed Data Science Consultancy focused on powering exceptional results for our Fortune 500/1000 clients and other major organizations. We are a growing company—born at the intersection of advanced analytics, data, and technology.

Who we are:

People are everything here at BLEND360.  We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at BLEND360, you will:

• Collaborate with a smart, passionate group of people who are invested in your success.
• Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement.
• Thrive with a company and leadership team who are committed to growth.

Job Description

Your role will be to be in charge of technical architecture operations day to day. This will require you to run point on creating a kick-ass backend architecture leveraging the latest and greatest in cloud technology to power transformative, data-driven products. The team will be depending on you to select the right technology for the job and provide a blueprint for implementing any given technology successfully. You should consider the business requirements, performance needs, cost and implementation complexity when designing your new architecture.

Your role will be primarily focused on design and blueprinting, but this is NOT a hands-off role. You will be expected to roll up your sleeves and dive into code to help us solve complex problems should the team not find an adequate resolution. We need an individual that can think outside the box and innovate to solve technical challenges that do not have simple, out of the box solutions.

The immediate ask of this role will be focused on a big data migration project to rejuvenate an old pipeline in a bleeding edge Kubernetes deployment. You will be responsible for overseeing the code conversion work-stream as well as predict challenges and hurdles associated. Deep Spark expertise is essential for this role. Familiarity with the end-to-end MLOps flows is an advantage

Outside of architecting new frameworks, you will be responsible for helping the organization upskill for the upcoming needs in the world of big data analytics.

You will get the ability to get creative in the world of big data technology without the encumberment of a large-scale organization. You will have the freedom to explore the latest technologies out there to not only improve your own skillset, but also help the organization as a whole improve.

Qualifications

• Strong experience with multiple cloud providers (GCP, AWS, Azure)
• Excellent Python programming capabilities
• Good understanding of databases/warehouses
• Previous experience deploying data products end to end
• Data governance and security experience.
• Previous experience architecting efficient processing frameworks.
• In-depth Spark understanding

Must have one of these skills: 

• ETL pipeline architecture involving dbt, Snowflake or similar tools in Cloud environment
• Experience in architecting microservice based architecture using queuing systems, streaming with NoSQL databases or data warehouses

Additional Information

A diverse workforce is a strong workforce
To deliver growth at BLEND360 and for our clients, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success.  We are determined to have equality in the workplace, within our team and as an extension of our clients’ team. 

This is not the work of the moment, this requires continued learning and purposeful actions.  We are investing resources to understand and improve the sourcing, selection and retention of the talent we hire.