Senior Data Architect
2 months ago
We are seeking a highly skilled Senior Data Architect to join our team at Printed. As a key member of our data engineering team, you will play a crucial role in designing, building, and maintaining our data platform, with a strong emphasis on streaming data, cloud infrastructure, and machine learning operations.
Key Responsibilities- Architect and Implement Data Pipelines:
- Design, develop, and maintain scalable and efficient data pipelines to ensure seamless data ingestion, processing, and integration across various systems.
- Optimize ETL processes to ensure data quality and integrity.
- Streaming Data Platform Development:
- Lead the development and maintenance of a real-time data streaming platform using tools like Apache Kafka, Databricks, and Kinesis.
- Ensure the integration of streaming data with batch processing systems for comprehensive data management.
- Cloud Infrastructure Management:
- Utilize AWS data engineering services (including S3, Redshift, Glue, Kinesis, Lambda, etc.) to build and manage our data infrastructure.
- Continuously optimize the platform for performance, scalability, and cost-effectiveness.
- Communications:
- Collaborate with cross-functional teams, including data scientists and BI developers, to understand data needs and deliver solutions.
- Leverage the project management team to coordinate project requirements, timelines, and deliverables.
- ML Ops and Advanced Data Engineering:
- Establish ML Ops practices within the data engineering framework, focusing on automation, monitoring, and optimization of machine learning pipelines.
- Data Quality and Governance:
- Implement and maintain data quality frameworks to ensure data accuracy, consistency, and reliability.
- Drive data governance initiatives, including data cataloguing, lineage tracking, and adherence to security and compliance standards.
- 3+ years of experience in data engineering, with a proven track record in building and maintaining data platforms, preferably on AWS.
- Strong proficiency in Python, experience in SQL and PostgreSQL. PySpark, Scala, or Java is a plus.
- Familiarity with Databricks and the Delta Lakehouse concept.
- Experience mentoring or leading junior engineers is highly desirable.
- Deep understanding of cloud-based data architectures and best practices.
- Proficiency in designing, implementing, and optimizing ETL/ELT workflows.
- Strong database and data lake management skills.
- Familiarity with ML Ops practices and tools, with a desire to expand skills in this area.
- Excellent problem-solving abilities and a collaborative mindset.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of machine learning pipelines and their integration with data platforms.
- 22 days holiday Plus 8 days bank holidays
- Staff discounts & Friends and Family discounts
- Cycle to work scheme and Tech Scheme
- Breakfast and drinks provided
- Charity day per annum supported
- Summer and Christmas Parties
- Street food days
- Perkbox membership
- Enhanced Maternity & Paternity leave
- Employee referral scheme
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