Architect, Data

Architect, Data – Credera

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. Projects include designing and implementing data platforms (Lakehouse, Data Ops, Data Mesh), building scalable data and ML pipelines, democratizing data through governance, and delivering data products using advanced ML, visualization, and integration solutions.

• Act as 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.

• 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.

• Seek out new business development opportunities at existing and new clients.

• Minimum 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.
• Highly driven professional who enjoys serving in a fast‑paced, dynamic client‑facing role where delivering solutions to exceed high expectations is a measure of success.
• Passion for leading teams and providing formal and informal mentorship.
• Strong communication and interpersonal skills, and the ability to engage customers at business and technical levels.
• Deep understanding of data governance and data privacy best practices.
• Incorporates usage of AI tooling, efficiencies, and code assistance in everyday workflows.
• Degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems, or related field.
• Technical knowledge of:
  • Programming languages (Python, Spark, Java, C++, Scala, etc.)
  • SQL and No
    
    SQL databases (MySQL, Dynamo
    
    DB, Cosmos
    
    DB, Cassandra, Mongo
    
    DB, etc.)
  • Data pipeline and workflow management tools (Airflow, Dagster, AWS Step Functions, Azure Data Factory, etc.)
  • Stream‑processing systems (Storm, Spark‑Streaming, Pulsar, Flink, etc.)
  • Data Warehouse design (Databricks, Snowflake, Delta Lake, Lake formation, Iceberg)
  • MLOps platforms (Sage Maker, Azure ML, Vertex.ai, MLFlow)
  • Container orchestration (Kubernetes, Docker Swarm, etc.)
  • Metadata management tools (Collibra, Atlas, Data Hub, etc.)
• Experience with data platform components on at least one of: AWS, Google Cloud Platform, Azure.

• Thrive in a fast‑paced, dynamic, client‑facing role where delivering solid work products to exceed high expectations is a measure of success.
• Contribute in a team‑oriented environment.
• Prioritize multiple tasks to consistently meet deadlines.
• Creatively solve problems in an analytical environment.
• Adapt to new environments, people, technologies, and processes.
• Excel in leadership, communication, and interpersonal skills.
• Establish strong work relationships with clients and team members.
• Generate ideas and understand different points of view.

Salary range is for informational purposes only. The salary range listed is just one component of the total compensation package.

Credera provides a competitive salary and comprehensive benefits plan, including health, mental health, vision, dental, 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.

Flexibility to work remotely two days a week. Team members are expected to spend three days in person, working with the project team to balance flexibility and in‑person collaboration.

Minimize travel; most projects do not require extensive travel. Some projects may involve up to 80% travel for a period; annual average is typically 10%–30%.

Applicants must be authorized to work in the U.S. without the…