Engineering Manager, Data Engineering
TRM LabsSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries
Requirements
- 8+ years of experience in data engineering or analytics engineering with a strong focus on both data modeling and infrastructure
- Proficient in SQL
- Proficient in Python
- Experience with modern data stack tools (e.g., DBT, Databricks, Airflow)
- Experience managing distributed and NoSQL databases (e.g., Cassandra, MongoDB), and cloud data warehouses (e.g., Snowflake, BigQuery)
- Strong understanding of scalable data architecture and real-time streaming pipelines (plus)
- Experience in leading teams, setting code standards, and mentoring junior developers
- Ability to translate business requirements into scalable, maintainable data systems
- Familiarity with booking platforms, CMS architectures, or event-based tracking systems (plus)
Responsibilities
- Lead the development and implementation of booking and CMS data features according to the roadmap
- Build, optimize, and manage robust data pipelines and ETL/ELT processes using tools like Airflow, DBT, and Databricks
- Oversee infrastructure and storage layers across distributed systems (e.g., Cassandra, MongoDB, Postgres), ensuring scalability, availability, and performance
- Support and partner with Data PMs to deliver clean, actionable data for reporting, analytics, and experimentation
- Handle client data queries, investigate anomalies, and proactively improve data quality and debugging workflows
- Manage a team of data engineers and analysts: provide architectural direction, review code, and support career growth
- Collaborate with DevOps/Platform teams on deployment, monitoring, and performance optimization of data services
- Champion best practices in data governance, version control, security, and documentation
Skills
SQL
Python
DBT
Databricks
Airflow
Cassandra
MongoDB
Postgres
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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