Technical Architect

Required Skills & Qualifications AI/ML • 8+ years of overall IT experience with 3+ years in AI/ML architecture. • Experience designing and deploying machine learning solutions in production environments. • Knowledge of supervised, unsupervised, deep learning, NLP, and Generative AI concepts. • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar. • Understanding of MLOps, model monitoring, and lifecycle management. Data Engineering • Strong experience in ETL/ELT development and architecture. • Hands-on expertise with Informatica PowerCenter, Informatica Cloud (IICS), or related Informatica products. • Extensive experience with data integration, data migration, and data warehousing solutions. • Strong database expertise in Oracle, SQL Server, PostgreSQL, Snowflake, or similar platforms. • Advanced SQL development and performance tuning skills. Data Modeling • Expertise in conceptual, logical, and physical data modeling. • Experience with dimensional modeling, star schema, snowflake schema, and data vault methodologies. • Familiarity with data modeling tools such as Erwin, ER/Studio, or similar. Cloud Technologies • Strong experience with AWS, Azure, or Google Cloud Platform. • Experience with cloud data services such as: • AWS: S3, Redshift, Glue, SageMaker • Azure: Data Factory, Synapse, Databricks, Azure ML • GCP: BigQuery, Dataflow, Vertex AI • Experience designing cloud-native data and AI architectures. Preferred Qualifications • Experience with Generative AI, LLMs, RAG architectures, vector databases, and AI agents. • Experience with Databricks, Snowflake, Delta Lake, or Lakehouse architectures. • Knowledge of containerization and orchestration tools such as Docker and Kubernetes. • Experience with CI/CD pipelines and DevOps practices. • Familiarity with Python, Spark, Scala, or Java