Senior Data Engineer
2 days ago
Alembic is pioneering a revolution in marketing, proving the true ROI of marketing activities. The Alembic Marketing Intelligence Platform applies sophisticated algorithms and AI models to finally solve this long-standing problem. When you join the Alembic team, you'll help build the tools that provide unprecedented visibility into how marketing drives revenue, helping a growing list of Fortune 500 companies make more confident, data-driven decisions.
About the Role
As a Senior Data Engineer at Alembic, you will be at the core of our data platform, building scalable and reliable data pipelines, optimizing storage solutions, and enabling real-time and batch analytics. You will work closely with data scientists, software engineers, and product leaders to design and implement robust data architectures.
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines that ingest, process, and transform large volumes of structured and unstructured data.
- Optimize data storage solutions using modern data lakehouse architectures and best practices for cost, performance, and reliability.
- Collaborate with data scientists and engineers to integrate machine learning models and analytical workloads into production environments.
- Ensure data integrity, quality, and security by implementing monitoring, alerting, and governance best practices.
- Work with cloud-based data warehouses and distributed data processing frameworks.
- Continuously evaluate and implement new technologies to improve data infrastructure and operational efficiency.
- 10+ years of experience in data engineering, software engineering, or a related field.
- Strong expertise in SQL and Python for data processing.
- Experience with modern data warehousing and lakehouse solutions (i.e. Iceberg or similar).
- Proficiency in working with distributed systems andbig data technologies (Apache Spark, Hadoop, Kafka, Flink).
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.
- Deep understanding of data modeling, database design, and performance optimization.
- Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation) for data pipelines.
- Strong problem-solving skills, with a passion for building reliable, scalable, and maintainable data systems.
- Excellent communication skills and the ability to collaborate in a cross-functional team.
- Experience with Graph Databases, NoSQL, or Time-Series Databases.
- Familiarity with data privacy, governance, and compliance (GDPR, HIPAA, SOC 2).
- Experience with machine learning pipelines and MLOps.
- High-impact role: Shape the future of our data platform at an early-stage startup.
- Growth opportunities: Work in a fast-paced environment with opportunities to take on new challenges.
- Collaborative culture: Join a team of passionate, skilled engineers and technologists.
- Competitive compensation: Including salary, equity, and benefits.
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