Senior Data Engineer
Resumes and Cover Letters can be sent to:
jobs@amawaterways.com
You will be asked to provide your name and contact
email address and to upload your resume. As part of
the application process, you will also have to
complete online tests: a Cognitive Aptitude Test and
an Employee Personality Profile.
Location: Los Angeles Headquarters
Office - Calabasas, CA USA
Work Arrangement: On-Site
Reports to: Director of Data
Engineering & BI
Position Summary:
The Senior Data Engineer will design, scale, and
optimize the company’s enterprise data platform.
This role will build and maintain cloud-native data
pipelines, lakehouse/warehouse architectures, and
multi-system integrations that support Finance,
Reservations, CRM, Operations, Marketing, and guest
experience analytics
The engineer will focus on building secure,
scalable, and cost-efficient systems while applying
modern DevOps, ETL, and cloud engineering practices.
This role requires a strong technologist with
hands-on expertise across data pipelines,
orchestration, governance, and cloud infrastructure
Duties & Responsibilites:
-
Data Platform Engineering
-
Design, build, and maintain ELT/ETL pipelines
across Snowflake, Databricks, Microsoft Fabric
Gen 2, Azure Synapse Analytics, and legacy
SQL/Oracle systems.
-
Implement medallion/lakehouse architecture
patterns, CDC pipelines, and streaming
ingestion frameworks.
-
Develop scalable data models, schemas, and
transformation layers that support enterprise
reporting and advanced analytics.
-
Optimize Snowflake and Synapse performance and
cost (clustering, partitioning, warehouse
tuning, resource monitoring).
-
Leverage Python and SQL for data processing,
orchestration, and automation.
-
Cloud Infrastructure & DevOps
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Architect and manage AWS and Azure
multi-account environments, ensuring MFA, IAM
policies, and governance are enforced.
-
Deploy infrastructure using Terraform, Azure
DevOps Pipelines, and CloudFormation for
reproducible, version-controlled environments.
-
Build serverless architectures (AWS Lambda,
Azure Functions, EventBridge, SQS, Step
Functions) for event-driven data flows.
-
Implement containerized services with
Docker/Kubernetes for orchestration and
workload isolation.
-
Integrate infrastructure with CI/CD pipelines
(GitHub Actions, Azure DevOps, MWAA/Airflow,
dbt) for automated testing and deployments.
-
Establish observability frameworks with
Datadog, Prometheus, Grafana, Kibana, Azure
Monitor for performance, availability, and
cost transparency.
-
Integration & Architecture
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Engineer integrations across Salesforce Data
Cloud/Marketing Cloud, finance systems,
payment gateways (Stripe/PayPal), call center
platforms, and shipboard systems.
-
Apply strong API and data exchange standards
(REST/SOAP, JSON, XML, streaming).
-
Implement secrets management practices
(vault-based credential management, Azure Key
Vault, Airflow, Databricks, external APIs).
-
Ensure alignment with enterprise security,
compliance, and governance frameworks
(PCI-DSS, SOX, GDPR, CCPA).
-
Governance, Quality & Reliability
-
Implement automated data quality validation,
lineage tracking, and impact analysis
frameworks.
-
Define disaster recovery, rollback, and
versioning strategies across cloud and hybrid
environments.
-
Monitor and optimize compute/storage spend;
provide reporting and visibility on
consumption and cost-saving initiatives.
-
Support IT and Security teams with audits,
vulnerability assessments, and incident
response protocols.
-
Technical Excellence
-
Apply engineering standards in Python, SQL,
CI/CD, Terraform, and infrastructure-as-code.
-
Stay current on new tools and technologies
across AWS, Azure, and open source; evaluate
and recommend adoption where applicable.
-
Document architectures, processes, and
patterns to enable knowledge sharing across
the team.
-
Troubleshoot complex pipeline, infrastructure,
and integration issues across multiple
environments.
Supervisory Responsibilities:
This job has no direct supervisory responsibilities
but may provide mentorship, code reviews, and
technical guidance to junior engineers or
contractors.
Qualifications:
-
Required
-
Seven or more years of professional experience
in data engineering across cloud and hybrid
environments.
-
Expert in Python for pipelines, APIs, and
automation and SQL (Snowflake, Azure Synapse,
Oracle, SQL Server).
-
Proven success designing and scaling platforms
on Snowflake, Databricks, Microsoft Fabric Gen
2, or Azure Synapse Analytics.
-
Strong hands-on experience with workflow
orchestration (Airflow/MWAA, Azure Data
Factory, dbt).
-
Demonstrated mastery of Terraform/IaC,
serverless AWS & Azure architectures,
Docker/Kubernetes.
-
Strong DevOps background (CI/CD pipelines, Git
branching strategies, automated testing,
infrastructure-as-code).
-
Familiarity with enterprise governance, RBAC,
metadata lineage, and compliance frameworks.
-
Experience with observability and monitoring
tools (Datadog, Prometheus, Grafana, Kibana,
Azure Monitor).
-
Ability to debug and resolve complex data
issues spanning multiple systems.
-
Preferred
-
Experience with Salesforce Data Cloud
integrations and identity resolution.
-
Background in finance systems, revenue
recognition, or high-volume payment
processing.
-
Hands-on exposure to Iceberg/Delta tables and
advanced data lakehouse architectures.
-
Experience optimizing Snowflake, Synapse, and
Databricks clusters for cost efficiency.
-
Familiarity with AI/ML-driven analytics,
predictive modeling, or real-time inference
workflows.
-
Prior experience in travel, hospitality, or
consumer-facing industries.
-
Certificates/Licenses: Not required, though
cloud certifications (AWS, Azure) preferred
-
Computer skills required:
-
Python, SQL, Terraform, CI/CD pipelines,
Airflow, Snowflake, Databricks, dbt, Azure,
AWS, containerization, observability tools
Physical Demands and Work Environment:
- Occasionally required to stand
- Occasionally required to walk
- Continually required to sit
-
Continually required to utilize hand and finger
dexterity
-
Occasionally required to climb, balance, bend,
stoop, kneel or crawl
- Frequently required to talk or hear
-
While performing the duties of this job, the noise
level in the work environment is usually moderate
-
The employee must occasionally lift and/or move up
to 10 pounds.
-
Specific vision abilities required by this job
include: Close vision
Resumes and Cover Letters can be sent to:
jobs@amawaterways.com