Senior 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.

Role Overview

As a Senior 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.

Who You Are

• 8+ 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.
• Highly driven professional who enjoys serving in a fast-paced, dynamic client-facing role.
• Passion for leading teams and providing formal and informal mentorship.
• Strong communication and interpersonal skills, with the ability to engage customers at both business and technical levels.
• Deep understanding of data governance and data privacy best practices.
• Proficiency in incorporating AI tooling and code assistance into everyday workflows.
• Degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems, or a related field.

Technical Requirements

The ideal candidate will have recent technical knowledge of the following:

• Programming: Python, Spark, Java, C++, Scala, etc.
• Databases: SQL and NoSQL (MySQL, DynamoDB, CosmosDB, Cassandra, MongoDB, etc.)
• Data Pipelines: Airflow, Dagster, AWS Step Functions, Azure Data Factory, etc.
• Stream-processing: Storm, Spark-Streaming, Pulsar, Flink, etc.
• Data Warehouse Design: Databricks, Snowflake, Delta Lake, Lake formation, Iceberg.
• MLOps: Sagemaker, Azure ML, Vertex.ai, MLFlow.
• Orchestration: Kubernetes, Docker Swarm, etc.
• Metadata Management: Collibra, Atlas, DataHub, etc.
• Cloud Providers: AWS, Google Cloud Platform, or Azure.

Basic Qualifications

• Thrive in a fast-paced, dynamic, client-facing environment.
• Contribute effectively in a team-oriented setting.
• Prioritize multiple tasks to consistently meet deadlines.
• Creatively solve problems in an analytical environment.
• Adapt to new environments, people, technologies, and processes.
• Establish strong work relationships with clients and team members.

Additional Information

Hybrid Working Model: Our employees have the flexibility to work remotely two days a week, with three days in person to foster collaboration and relationship building.

Travel: While some projects may involve up to 80% travel, the annual average for team members is typically 10%–30%.

Work Authorization: Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

Equal Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability.