Architect-3

About the role

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 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.

Responsibilities

• 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
• 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
• Manage technical backlogs and release management tools
• Seek out new business development opportunities at existing and new clients

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
• 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 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
• 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

Qualifications

• 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.), metadata management tools (Collibra, Atlas, DataHub, etc.), and experience with data platform components on one or more of the following cloud service providers: AWS, Google Cloud Platform, Azure

Skills

• Passionate about 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
• Recent technical knowledge of programming languages, databases, data pipeline and workflow management tools, stream-processing systems, data warehouse design, MLOps platforms, container orchestration, metadata management tools, and experience with data platform components on one or more of the following cloud service providers: AWS, Google Cloud Platform, Azure

Benefits

The benefits offered by Credera include 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.

Pay

$130,000 - $170,000

Schedule

Hybrid working model: Employees have the flexibility to work remotely two days a week, spending three days in person. The objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.