Architect, Data

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. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Requirements

• 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
• Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
• Deep understanding of data governance and data privacy best practices
• Recent technical knowledge of 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.), stream-processing systems (e.g. Storm, Spark-Streaming, Pulsar, Flink, etc.), data warehouse design (Databricks, Snowflake, Delta Lake, Lake formation, Iceberg), MLOps platforms (Sagemaker, Azure ML, Vertex.ai, MLFlow), container orchestration (e.g. Kubernetes, Docker Swarm, etc.), and 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, Azure

Benefits

• Health, mental health, vision, dental, and life insurance
• Prescriptions, fertility and adoption benefits, community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare & Dependent Flexible Spending Accounts, and disability benefits