Credera · 8 hours ago
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. 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.
ConsultingInformation TechnologyManagement ConsultingSoftware
Responsibilities
Lead teams in implementing modern data architecture, data engineering pipelines, and advanced analytical solutions
Design and implement the latest data platform approaches (i.e. Lakehouse, DataOps, Data Mesh) using best practices and cloud solutions
Build scalable data and ML pipelines, democratizing data through modern governance approaches, and delivering data products using advanced machine learning, visualization, and integration approaches
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
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
Qualification
Required
A minimum of 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 and identify opportunities for improvement
A 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
A passion for leading teams and providing both formal and informal mentorship
Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
A deep understanding of data governance and data privacy best practices
Incorporation of the usage of AI tooling, efficiencies, and code assistance tooling in everyday workflows
A degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems or a related field of study
Recent technical knowledge of programming languages (e.g. Python, Spark, Java, C++, Scala, etc.)
Recent technical knowledge of SQL and NoSQL databases (MySQL, DynamoDB, CosmosDB, Cassandra, MongoDB, etc.)
Recent technical knowledge of data pipeline and workflow management tools (Airflow, Dagster, AWS Step Functions, Azure Data Factory, etc.)
Recent technical knowledge of stream-processing systems (e.g. Storm, Spark-Streaming, Pulsar, Flink, etc.)
Recent technical knowledge of data warehouse design (Databricks, Snowflake, Delta Lake, Lake formation, Iceberg)
Recent technical knowledge of MLOps platforms (Sagemaker, Azure ML, Vertex.ai, MLFlow)
Recent technical knowledge of container orchestration (e.g. Kubernetes, Docker Swarm, etc.)
Recent technical knowledge of 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
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 in order 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
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
Disability benefits
Company
Credera
Credera provides management consulting, technology solutions, and business intelligence services.
Funding
Current Stage
Late StageTotal Funding
unknown2018-08-02Acquired
Recent News
2025-11-05
2025-04-03
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