• Design and implement modern Databricks Lakehouse architectures • Develop scalable batch and streaming solutions using Medallion Architecture (Bronze/Silver/Gold) • Define platform standards, governance, and best practices • Collaborate with engineering teams to deliver secure, high-performance data solutions • Advise stakeholders on enterprise data architecture and cloud strategies

Role Description At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’re looking for an outstanding Solutions Architect to join our team. - Architecture Design & Implementation: Lead the design of robust architectures tailored to client needs. Implement these solutions hands-on, ensuring scalability and maintainability. - API Design & Integration: Design, develop, and integrate APIs, ensuring seamless communication between systems and enhancing overall performance. - Technical Leadership: Guide and mentor engineering teams, conduct code reviews, and set technical standards. Engage in technical spikes to explore new technologies and methods. - Client Interaction: Work closely with clients to understand their business goals, present technical solutions, and adjust strategies based on feedback. - DevOps & Release Management: Design, set up, and maintain CI/CD pipelines. Manage deployment processes to ensure smooth, reliable releases. - Problem-Solving & Troubleshooting: Address technical issues promptly and resolve them, ensuring minimal disruption to project timelines. - Adaptability: Engage in diverse projects, from API design to live team support to full-time DevOps, adapting your skills to meet varied client needs. Qualifications - At least 7-10 years of software engineering experience, preferably in a consulting environment or as part of an in-house, cross-functional product team. - Experience building consumer-facing native mobile and web applications, with a fluent command of the native languages and core frameworks. - Demonstrated expertise architecting, building, maintaining, and scaling modern software on various platforms. - Ability to design, set up, and maintain DevOps pipelines using various tools and techniques. - Ability to design and maintain CI/CD pipelines and manage complex deployments. Scripting expertise (Unix shell, Ruby, Perl, etc.). - Experience designing APIs and writing API specifications. - Ability to clearly articulate technical requirements to other engineers. - An understanding of computer networking (e.g., VPNs, SSH, Wi-Fi) and experience setting up, maintaining, and troubleshooting computer networks. - A keen sense for security: you're able to think around corners and see potential risks. - An ability to understand client expectations, the work the team has done and still has to do to meet those expectations, and the ability to motivate the team to successfully deliver. - Work samples showcasing performant, neatly organized code with clean, well-implemented user interfaces. - A talent for communicating directly with clients, managing expectations, and explaining advanced technical concepts and their implications. - Excellent communication skills and a strong ability to present and defend technical and architectural choices persuasively. - Renowned problem-solving skills. - Above-average discipline and personal organization skills. - A demonstrated hunger for personal and professional growth. - A self-evident love and care for the craft of software engineering. Benefits - Compensation is $115,000 - $160,000 per year. What to expect - When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). - Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Bonus points if you… - Have strong illustration chops in technical diagramming. - Speak, write, and/or educate publicly about technical topics. - Have publicly released your own personal, self-started products or apps. - Enjoy tinkering with emerging languages and platforms such as Go, Rust, Alexa, and/or Unity.

• Performing basic architectural/engineering calculations. • Preparing specifications, reports and related data tables. • Maintaining liaison with design and drafting groups. • Preparing, reviewing, and approving drawings as required. • Under the direction of the Supervising Architect, may independently perform advanced technical assignments of various complexities within approved schedules and budgets. • May coordinate technical and administrative activities with employees in other disciplines and other departments participating on an assigned project. • May assist in the training and evaluation of assigned architectural and design/drafting personnel. • May review and approve conceptual designs. • May assist in the development of new architectural methods and techniques.

Role Description We are seeking an experienced AWS to GCP Migration Data Architect with 10+ years of overall experience and hands-on AWS & GCP Data Engineering expertise. The ideal candidate will lead enterprise-scale cloud migration initiatives from AWS to Google Cloud Platform (GCP), modernize analytics platforms, migrate BI solutions from Qlik Sense to Looker, and architect scalable cloud-native data platforms. This role requires strong expertise in AWS data services, GCP data engineering, ETL modernization, Data Lakehouse architecture, and technical leadership while collaborating with onsite and offshore teams. Qualifications - 10+ years of experience in data engineering and cloud migration. - Strong expertise in AWS data services and GCP data engineering. - Experience in ETL modernization and Data Lakehouse architecture. - Technical leadership and collaboration skills. Requirements - AWS to GCP Migration. - Google Cloud Platform (GCP). - Google Pub/Sub. - Dataflow (Apache Beam). - BigQuery. - Cloud Composer (Airflow). - Google Cloud Storage (GCS). - AWS Redshift. - AWS Glue. - AWS Glue DataBrew. - Amazon S3. - DynamoDB. - DBT (Data Build Tool). - SQL. - Python. - PySpark. - Data Lakehouse. - ETL/ELT. - Qlik Sense to Looker Migration. - Cloud SQL. - Terraform. - CI/CD. Benefits - Lead large-scale AWS-to-GCP cloud transformation initiatives. - Work on enterprise Data Lakehouse and analytics modernization projects. - Opportunity to migrate enterprise BI platforms from Qlik Sense to Looker. - Flexible remote work environment. - Exposure to global enterprise customers. - Collaborative, innovation-driven engineering culture. - Continuous learning and certification opportunities.