Senior Data Engineer

About Alembic

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.

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.

• 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 and big 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, Cloud Formation) 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, No
  
  SQL, 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.

Compensation Range: $190K - $209K