Architect - and data or architecture data

Architect
Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.
Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. As an Architect in Credera's Data capability group, you will lead teams in implementing modern data architecture, data engineering pipelines, and advanced analytical solutions. Our projects range from designing and implementing the latest data platform approaches (i.e. Lakehouse, DataOps, Data Mesh) using best practices and cloud solutions, building scalable data and ML pipelines, democratizing data through modern governance approaches, and delivering data products using advanced machine learning, visualization, and integration approaches.
You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements, serve as a technical expert in client communications, and mentor junior project team members. On a typical day, you might expect to participate in design sessions, build data structures for an enterprise data lake or statistical models for a machine learning algorithm, coach junior resources, and manage technical backlogs and release management tools. You have a minimum of 5 years of technical, hands-on experience building, optimizing, and implementing data pipelines and architecture
Experience leading teams to wrangle, explore, and analyze data to answer specific business questions and identify opportunities for improvement
You are a highly driven professional and enjoy serving in a fast-paced, dynamic client-facing role where delivering solutions to exceed high expectations is a measure of success
You have strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
You have a deep understanding of data governance and data privacy best practices
You incorporate the usage of AI tooling, efficiencies, and code assistance tooling in your everyday workflows
You have a degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems or a related field of study
Programming languages (e.g. Python, Spark, Java, C++, Scala, etc.)
SQL and NoSQL databases (MySQL, DynamoDB, CosmosDB, Cassandra, MongoDB, etc.)
Data pipeline and workflow management tools (Airflow, Dagster,

AWS

Step Functions, Azure Data Factory, etc.)
Data Warehouse design (Databricks, Snowflake, Delta Lake, Lake formation, Iceberg)
MLOps platforms (Sagemaker, Azure ML, Vertex.Metadata management tools (Collibra, Atlas, DataHub, etc.)

Experience with the data platform components on one or more of the following cloud service providers:
AWS
Google Cloud Platform
Excel in leadership, communication, and interpersonal skills