Data lakehouse and AI consulting for enterprise cloud transformation
Tecknoworks is a 20-year-old data and AI consulting firm operating at the intersection of cloud infrastructure, analytics, and production AI. The stack reveals a dual-cloud posture (AWS + Azure) with heavy investment in data lakehouse patterns (Redshift, Synapse, Snowflake, dbt, Databricks), and the project list confirms they're moving beyond BI into multi-model AI implementations and RAG architecture. Hiring skews engineering and data heavy (11 of 15 roles), with mid-level practitioners, suggesting execution-focused delivery rather than advisory-only positioning.
Tecknoworks delivers data strategy, analytics platforms, and custom AI solutions for enterprise clients navigating digital transformation. Founded in 2001 and based in Cluj-Napoca, Romania, the firm has shipped over 1,000 projects and maintains a 15+ year partnership with Microsoft as a Gold Partner. Current focus spans three areas: data analytics and BI (turning raw data into actionable insights), AI and automation (custom models and process optimization), and enterprise consulting (planning and scaling data and AI initiatives). The client base includes large multinationals across healthcare, consumer goods, and professional services.
Tecknoworks operates across AWS (Glue, Redshift, Athena, Lake Formation, Lambda, Kinesis) and Azure (Data Factory, Synapse, Data Lake Storage, SQL Database, Functions, Logic Apps). For analytics and ML: Python, TensorFlow, PyTorch, scikit-learn, Databricks, Apache Spark, dbt, and Snowflake.
Core projects include data lakehouse architecture design, multi-model AI implementations, RAG (retrieval-augmented generation) systems, scalable data pipeline development, cloud data warehouse optimization, and enterprise AI factory buildouts. Co-selling with the Microsoft ecosystem is also active.
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