Data Architect

About the role

Data Architect - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently - and it shows. Every move we make is tied to measurable value, and our success aligns with our clients' success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about - it's something we live, every day. At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. Growth Through Challenge : We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. The Autonomy to do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact-not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. Diverse Perspectives Driv ing Innovative Solutions : We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. What you can expect in this role: As a Data Architect, you will design the technical backbone of our clients' data ecosystems-enabling scalable analytics, AI, and automation. You'll lead the architecture of modern data platforms, shape technical strategy, and ensure secure, reliable delivery across complex environments. Design and implement cloud-native data architectures across AWS, Azure, and GCP to support advanced analytics and AI solutions. Lead the architecture of end-to-end ELT/ETL pipelines using SQL and Python, connecting structured and unstructured data sources into unified models. Build and optimize enterprise data platforms, including data lakes, warehouses (Fabric, Databricks, Snowflake, Redshift, Synapse, BigQuery), and semantic/dimensional models. Ensure data privacy, security, and compliance, incorporating masking, tokenization, retention policies, and metadata-driven governance frameworks. Implement infrastructure-as-code, CI/CD pipelines, and testing frameworks to drive scalable, automated, and resilient deployments. Conduct deep data profiling and validation, shaping architectural decisions based on source quality, lineage, and business context. Translate business needs into scalable designs, using source-to-target mappings, conceptual wireframes, and technical documentation. Identify opportunities to integrate AI and machine learning, leveraging practical use cases such as intelligent data quality, metadata automation, and ML feature stores. Support client engagement and pre-sales, presenting architectural strategies, influencing decisions, and mentoring delivery teams. Bring a forward-thinking mindset to AI-powered solutions, including agentic solutions and LLM integrations, helping clients and teams navigate what's possible as the AI landscape evolves. Tools for success: The ideal candidate combines deep technical expertise with a strategic mindset and the ability to lead clients and teams through complex transformations. You should bring: 8+ years of experience in data architecture, data engineering, or enterprise cloud platform design. Advanced proficiency in SQL and Python, with hands-on experience building scalable ELT/ETL solutions. Deep familiarity with cloud data platforms, including Fabric, Snowflake, Databricks, Redshift, Synapse, BigQuery , and related platforms. Expertise in data modeling (relational, dimensional/star schema), metadata management, and performance optimization. Strong understanding of DevOps and infrastructure-as-code (IaC), including Git, Terraform, CI/CD pipelines, and auto