Data Engineering Lead

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Tittle: Data Engineering Lead

Location: New york NY( Remote)

Job Description

Must Have Technical/Functional Skills

AWS Data Engineering Services (EMR/GlueRedshiftAurora S3 Lambda) Spark Python Collibra Snowflake/Databricks Tableau.

Roles & Responsibilities

Ingest and model data from APIs files/SFTP and relational sources; implement layered architectures (raw/clean/serving) using PySpark/SQL and dbt Python.
Design and operate pipelines with Prefect (or Airflow) including scheduling retries parameterization SLAs and well documented runbooks.
Build on cloud data platforms leveraging S3/ADLS/GCS for storage and a Spark platform (e.g. Databricks or equivalent) for compute; manage jobs secrets and access.
Publish governed data services and manage their lifecycle with Azure API Management (APIM) authentication/authorization policies versioning quotas and monitoring.
Enforce data quality and governance through data contracts validations/tests lineage observability and proactive alerting.
Optimize performance and cost via partitioning clustering query tuning job sizing and workload management.
Uphold security and compliance (e.g. PII handling encryption masking) in line with firm standards.
Collaborate with stakeholders (analytics AI engineering and business teams) to translate requirements into reliable production ready datasets.
Enable AI/LLM use cases by packaging datasets and metadata for downstream consumption integrating via Model Context Protocol (MCP) where appropriate.
Continuously improve platform reliability and developer productivity by automating routine tasks reducing technical debt and maintaining clear documentation.
4 15 years of professional data engineering experience.
Strong Python SQL and Spark (PySpark) skills and/or Kafka.
Snowflake (Snowpipe Tasks Streams) as a complementary warehouse.
Databricks (Delta formats workflows cataloging) or equivalent Spark platforms.
Hands-on experience building ETL/ELT with Prefect (or Airflow) dbt Spark and/or Kafka.
Experience onboarding datasets to cloud data platforms (storage compute security governance).
Familiarity with Azure/AWS/GCP data services (e.g. S3/ADLS/GCS; Redshift/BigQuery; Glue/ADF).
Git-based workflows CI/CD and containerization with Docker (Kubernetes a plus).

Generic Managerial Skills If any

Strategic Technical Leadership: Defining data architecture evaluating new technologies and setting technical standards for AWS-based pipelines
Stakeholder Communication: Bridging the gap between technical teams and business stakeholders gathering requirements and reporting progress
Risk Management: Proactively identifying potential bottlenecks in data workflows security risks or scalability issues
Operational Excellence: Implementing automation optimizing costs and maintaining high data quality standards.

Tittle: Data Engineering Lead Location: New york NY( Remote) Job Description Must Have Technical/Functional Skills AWS Data Engineering Services (EMR/GlueRedshiftAurora S3 Lambda) Spark Python Collibra Snowflake/Databricks Tableau. Roles & Responsibilities Ingest and model data from ...