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At Lumenalta, we create impactful software solutions that drive innovation and transform businesses. Since 2000, we’ve partnered with visionary leaders to build cutting-edge tech, solve complex challenges, and deliver results faster through our elite teams and tech-driven approach. Join us in shaping the future of technology.
What you’ll do
You’ll lead with insight, architect with empathy, and deliver with precision. As a Solutions Architect, your role is to shape and steward high-impact data and AI solutions—from foundational data architecture to applied AI and ML deployments. You’ll collaborate with cross-functional teams including engineering, product, client stakeholders, and marketing to ensure solutions are scalable, secure, and designed for real-world outcomes.
Key Responsibilities
- Act as a technical lead during pre-sales and project delivery, driving architectural design sessions and solution workshops with clients (this comprises approximately 60% of the role responsibilities).
- Lead architecture design for data platforms, machine learning systems, and AI-driven applications across cloud and hybrid environments.
- Partner with clients and internal stakeholders to translate business goals into scalable technical solutions that create measurable value.
- Design and guide the implementation of modern data ecosystems, including data ingestion, processing, governance, and analytics.
- Shape the lifecycle of AI/ML models: from ideation, development, and training to deployment, monitoring, and continuous improvement.
- Define and enforce architecture principles, standards, and best practices for data quality, security, and responsible AI.
- Evaluate emerging technologies and vendors in AI, machine learning, and data infrastructure to inform strategic decision-making.
- Promote user and client adoption of our technical solutions, contributing to the market recognition of our innovative edge.
- Advocate for and promote technology innovation strategies within the organization, fostering a culture of hands-on innovation and technical excellence.
- Mentor engineering teams and contribute to knowledge-sharing initiatives across the company.
What you bring
- 7+ years of experience in data architecture, software engineering, or AI/ML solution design, ideally in a client-facing or consulting environment.
- Deep understanding of modern data platforms (e.g., Databricks, Snowflake, BigQuery), cloud environments (AWS, Azure, GCP), and data governance frameworks.
- Proficiency with MLOps tools and practices, including model versioning, CI/CD pipelines, and model monitoring platforms.
- Experience designing and implementing machine learning models in production—across supervised, unsupervised, and generative AI paradigms.
- Strong grasp of data privacy, ethical AI, and risk mitigation strategies in AI-enabled systems.
- Proven ability to communicate complex technical concepts to both technical and non-technical audiences.
- Familiarity with large language models (LLMs), vector databases, and retrieval-augmented generation (RAG) frameworks is a plus.
- Demonstrated interest and talent for sharing perspectives and thought leadership through communications and marketing channels.
- You’ll work on high-impact projects that power real-time analytics, AI, and innovation at scale.
- You’ll be surrounded by smart, supportive people who care about doing great work and helping each other grow.
- You’ll stay on the forefront of Databricks capabilities and cloud-native design patterns.
- We offer competitive compensation, flexibility, and the chance to shape meaningful solutions for forward-thinking clients.
What's it like to work at Lumenalta?
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