Smartbridge
Data & Analytics Architect
Smartbridge, Houston, TX
This posting is for 2025 start dates. Job Title: Cloud Data & Analytics Architect (Azure)Location: Houston, TX - HybridSalary Range: $125K - $180K (Annual)At this time we are not able to offer Visa Sponsorship or H1B TransfersAre you ready to elevate your career with Smartbridge?Join the Smartbridge team as a Cloud Data & Analytics Architect specializing in Microsoft Azure, and be part of a transformative company that helps clients achieve business success through digital innovation. We offer comprehensive benefits and an empowering work culture.What We Offer:100% Paid Healthcare InsurancePaid Days Off starting from Day 1Career Development: Bonus opportunities with certifications earnedFitness ReimbursementMatching 401K Retirement PlanMentoring ProgramTeam Events and More...Who We Are:At Smartbridge, we simplify business transformation by creating digitally connected enterprises. From strategy to implementation, we bring our clients' digital agenda to life. We take pride in our culture of growth, teamwork, and the innovative spirit that each employee brings to our success.Role Overview:As a Cloud Data & Analytics Architect at Smartbridge, you will work closely with stakeholders to deliver cutting-edge data solutions on the Microsoft Azure platform. This role demands hands-on expertise in both designing and building data architectures that meet business challenges. You’ll lead technical projects, mentor teams, and drive business development in cloud data & analytics.Key Responsibilities:Collaborate with stakeholders: Engage with customers, Smartbridge teams, and partners to design and deliver Azure-based solutions.Hands-on architecture and development: Act as a hands-on data architect, responsible for both building and designing cloud data solutions.Architect cloud solutions: Design and implement data & analytics solutions using Azure Synapse, Azure Data Factory, and Azure Databricks.Technical leadership: Guide teams in deploying cloud data warehouses, data lakes, and integration solutions.Develop solutions: Create and develop data pipelines, ETL processes, and engineering solutions using Azure tools.Feasibility assessments: Lead technical assessments for data projects and create detailed proposals and estimates.Mentorship: Provide leadership, mentorship, and upskilling to teams in cloud data solutions.Business development: Support and drive business growth by identifying new opportunities in data & analytics.Migration expertise: Lead on-premises data warehouse migration efforts to Azure.DevOps solutions: Design and implement Azure DevOps pipelines for CI/CD in data solutions.Client relationship management: Build and maintain strong client relationships, ensuring high-quality solution delivery.What You Need:Broad knowledge of the Microsoft Azure cloud platform, including experience in data architecture, security, and networking.Experience with cloud data warehouses and data lakes (Azure Synapse, Snowflake).Expertise in cloud data integration/processing (Azure Data Factory, Azure Databricks, Spark).Ability to roll up your sleeves and actively participate in solution development.Understanding of data science tools, machine learning, and analytics models.Proven track record in project leadership and stakeholder engagement.Full lifecycle experience in data & analytics solutions using Agile methodologies.Experience with Azure DevOps design and implementation.Prior experience with migrating on-premises data warehouses to Azure.Excellent communication skills, comfortable with both large and small audience presentations.Education:Bachelor's Degree in Computer Science, Computer Engineering, MIS, or a related field.Why Smartbridge?At Smartbridge, we offer more than just a job—we offer a chance to shape the future of business transformation. Apply now and join a team that values professional growth and innovation.Ready to Elevate Your Career? Apply Today!Visit Smartbridge Careers to apply.SummaryLocation: Houston, TX, United StatesType: Full TimeExperience: ExperiencedDepartment: Business Intelligence