
Senior Data Solutions Engineer
1 day ago
We are seeking a seasoned professional to design and deliver innovative data solutions that drive business growth and efficiency. This is an exciting opportunity for a talented individual to join our team of experts and contribute to the development of cutting-edge AI projects across various industries.
About the RoleAs a Data & Solutions Architect, you will be responsible for translating complex business requirements into scalable solution blueprints that meet the needs of our global clients. Your expertise in data architecture, pipelines, governance, MLOps, and Gen AI solutions will enable us to deliver high-quality services and achieve faster time-to-market.
- Your primary focus will be on designing end-to-end architectures that cover ingestion, storage, processing, analytics, ML/AI, and visualization.
- You will engage with clients to understand their business goals, technical constraints, and AI/data maturity, ensuring that our solutions meet their specific needs.
- With your hands-on experience in cloud platforms (AWS, GCP, Azure) and IaC (Terraform, CloudFormation), you will architect modern data platforms using tools like Databricks, Snowflake, BigQuery, Redshift, etc.
The ideal candidate will have:
- At least 10 years of experience in data engineering, data architecture, or solution architecture roles.
- Strong knowledge of data modeling, SQL/NoSQL databases, streaming tech (Kafka, Pub/Sub, Kinesis).
- Proven experience with Databricks, Snowflake, or equivalent modern data stack tools.
- Familiarity with AI/ML architectures, MLOps tools (MLflow, Kubeflow), and Gen AI frameworks (LangChain, RAG pipelines).
- Excellent communication and client-facing skills.
We offer a dynamic work environment, flexible working hours, and opportunities for professional growth and development. As a member of our team, you will have access to the latest technologies and tools, as well as regular training and mentorship programs.
About UsWe are a fast-growing AI-first consulting company that specializes in data architecture, pipelines, governance, MLOps, and Gen AI solutions. Our mission is to help organizations become AI-ready by structuring their data efficiently across various sources and enabling AI-driven solutions.
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