Senior Solutions Architect designing digital manufacturing solutions at LyondellBasell. Leading architecture for production, reliability, energy, and sustainability use cases with a focus on innovation.
About the role
- Solution Architect leading client-facing data migration projects for Enterprise Data Platform. Working on AWS and Snowflake to drive successful end-to-end migration.
Responsibilities
- Lead the technical discovery, design, and planning phases, effectively translating complex client business needs and requirements into detailed architectural blueprints and robust technical specifications.
- Design and document the end-to-end data flow and pipeline orchestration, from various source system ingestion patterns (batch and streaming) to the final curated Gold Layer models, primarily utilizing **AWS Redshift**.
- Define the **canonical data models** for the Silver Layer and establish the optimal **dimensional models** for the Gold Layer, leveraging data modeling tools like **Erwin**.
- Provide clear technical leadership and oversight to the engineering and development teams, ensuring alignment with the established architectural vision.
Requirements
- 15+ years of progressive experience in data engineering, data warehousing, and cloud architecture roles.
- Minimum of 10 years specifically in a client-facing or leadership role designing and implementing large-scale data migration projects.
- Candidates must demonstrate deep, hands-on experience and architectural proficiency across the following technologies:
- **AWS Services:** Amazon EMR (Elastic MapReduce), Amazon S3, AWS Glue, and Amazon Redshift.
- **Data Processing:** Expert knowledge in **PySpark** for large-scale data transformation and processing.
- **Data Warehousing:** Proven experience designing and managing scalable data warehouse solutions, specifically using **Redshift**.
- **Data Streaming:** Kafka and/or Amazon Kinesis.
- **Data Warehouse:** Hands-on experience with **Snowflake**.
- **Data Governance & Quality:** Experience with tools like DataHub and data quality frameworks such as **Great Expectations**.
- **Modeling:** Advanced data modeling techniques and methodologies.
- Participate in fast iteration cycles, adapting to evolving project requirements.
- Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
- Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment.
- Ability to work with a global team, playing a key role in communicating problem context to the remote teams
- Excellent communication and teamwork skills
Benefits
- Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Job title
Job type
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Not specified
Degree requirement
No Education Requirement
Tech skills
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