Principal - Data Engineering

As a Principal Architect, you will serve in an integral role in the company to support the development and growth of Credera’s Data Engineering capability. 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 are a strong and proven leader in client or product delivery. Your primary responsibilities will be to bring Data services to market as the leader of client-facing engagements. You will lead teams of cross-functional consultants on strategic and transformational projects where you will be responsible for the successful execution of the client engagement. You will provide oversight and mentorship to your team, build trusted relationships with senior-management client stakeholders, and provide your team with strategic guidance and thought leadership. You will leverage your expertise and background in delivering data driven solutions to successfully deliver solutions and will understand the broader capabilities of Credera to recommend additional services to your clients. You will also leverage your thought leadership, relationships, and solutioning abilities to help generate business for Credera, delivering revenue and new project opportunities for the company.

In this role, you will also focus internally on our Data Engineering capability. You will collaborate with other leaders in the practice and the company at large to develop go to market strategies, grow the practice (team size, depth of skills, breadth of capabilities), and mentor and coach junior team members.

WHO YOU ARE:

• You have at least 10 years of industry or consulting experience data warehousing and engineering, advanced analytics, or a data related field
• You have at least 5 years of experience leading teams that develop complex, analytical solutions
• You have proven track record of using advanced quantitative and qualitative data methodologies or statistical/ML models that directly interact with the customer or inform business decisions resulting in measurable ROI
• You can quickly learn and apply business and analytics concepts including but not limited to modern data infrastructure, cloud data platforms, open source analytics technologies, artificial intelligence (AI) and visualization software
• You enjoy working as a team with other talented individuals to solve challenging problems with creative solutions
• You have strong communication and interpersonal skills and look for opportunities to mentor others
• You have a degree or equivalent in Computer Science, Applied Mathematics, Engineering, or related field (Master’s Degree Preferred)
• The ideal candidate will have recent technical knowledge of the following:
  
  • SQL and relational databases (e.g. Snowflake, MySQL, SQL Server)
  • Data Lake design (Delta Lake, Lakeformation, Iceberg)
  • NoSQL databases (DynamoDB, CosmosDB, Cassandra, MongoDB, etc.) 
  • Data pipeline and workflow management tools (Airflow, Dagster, AWS Step Functions, Azure Data Factory, etc.)
  • Metadata management tools (Collibra, Atlas, DataHub, etc.) 
  • Stream-processing systems (e.g. Storm, Spark-Streaming, Pulsar, Flink, etc.)
  • MLOps platforms (Sagemaker, Azure ML, Vertex.ai, MLFlow) 
  • Programming languages (e.g. Python, Java, C++, Scala, etc.)
  • Container Orchestration (e.g. Kubernetes, Docker Swarm, etc.)
• Experience with the data platform components on one or more of the following cloud service providers:
  • AWS
  • Google Cloud Platform
  • Azure

WHO WE ARE:

• Credera is a full-service management consulting, user experience, and technology solutions firm, with clients ranging from Fortune 500 companies to emerging industry leaders. 
• Credera has received a number of national awards! Please check out our employer awards at: https://www.credera.com/awards-and-recognition
• Our data capabilities help our clients gain competitive advantage by transforming raw data into insights that enable actionable decision making. Our business-driven approach to envisioning and implementing innovative solutions helps organizations tackle their market, increase customer engagement and grow revenue profitably via advanced technology. Our data capabilities serve our clients across a broad spectrum of areas, specializing in Data Strategy, Modern Data Architecture, Data Visualization, Business Insights, Data Analytics and Artificial Intelligence. 

HOW WE WORK: