Data Lead

1 Month ago • 8 Years +

Job Summary

Job Description

The Data Lead will architect and deliver end-to-end data features for booking and content management systems. Responsibilities include leading a team, managing data pipelines, overseeing infrastructure and storage layers, supporting data PMs, handling client data queries, and managing a team of data engineers and analysts. The role involves collaborating with DevOps/Platform teams and championing data governance best practices. This position requires at least 75 words.

Must have:

8+ years of experience in data engineering or analytics engineering.
2+ years of experience managing and guiding a data team.
Proficient in SQL and Python, and modern data stack tools.
Experience managing distributed and NoSQL databases.

Good to have:

Strong understanding of scalable data architecture and real-time streaming pipelines.
Experience in leading teams and mentoring junior developers.
Familiarity with booking platforms or CMS architectures.

Perks:

Competitive salary
Strong healthcare insurance
Benefits package
Extensive learning and development resources

8 skills required

8 skills required for this role

Add these skills to join the top 1% applicants for this job

cassandra

mongodb

nosql

python

sql

scalability

innovation

problem-solving

Job Details

Position Overview:

We’re looking for a hands-on Data Lead to architect and deliver end-to-end data features that power our booking and content management systems. You’ll lead a team, own the data pipeline lifecycle, and play a critical role in shaping and scaling our data infrastructure — spanning batch, real-time, and NoSQL environments.

ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job 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.

Basic Qualifications:

8+ years of experience in data engineering or analytics engineering with a strong focus on both data modeling and infrastructure.
2+ years of experience of managing and guiding data team to realize complicated data features.
Proficient in SQL, Python, and working 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 is a 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 is a plus!

We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is preferably hybrid, with 2 days per week spent in the office. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.