Senior Data Lead

Inherent Technologies; Washington (District of Columbia); On-site; USD 150,000 - 230,000; Full time

Job summary

Inherent Technologies is seeking a Senior Data Lead to guide data engineering teams in building and optimizing data pipelines using Snowflake, Azure Data Factory, and Databricks. The role is remote with a 1-year duration.

You will collaborate with stakeholders to design scalable architectures, mentor staff, and deliver data-driven solutions with high quality and performance, while staying current with industry trends.

Qualifications

• Experience leading data engineering teams on complex data projects.
• Strong knowledge of data modeling and performance optimization.
• Hands-on experience with Snowflake, ADF, and Databricks.
• Proven ability to design and optimize ETL pipelines.
• Excellent stakeholder communication and collaboration skills.
• Experience with Agile methodologies and project management.

Responsibilities

• Lead and manage technical teams in Snowflake, ADF, and Databricks projects.
• Design, develop, and maintain data pipelines to support business requirements.
• Gather requirements from stakeholders and propose data-driven solutions.
• Monitor and troubleshoot data pipelines ensuring data quality, reliability, and performance.
• Stay updated with data management trends and apply best practices.
• Collaborate with cross-functional teams to integrate data solutions.
• Provide mentorship to team members to promote learning and innovation.

Skills

Snowflake data modeling & optimization

ADF data integration & orchestration

Databricks data engineering & ML

ETL pipeline design & optimization

Problem-solving

Communication with stakeholders

Leadership & mentoring

Agile project management

Tools

Snowflake

Azure Data Factory (ADF)

Databricks

Job description

• Lead and manage technical teams, providing guidance and support in the implementation of snowflake, azure data factory (adf), and data bricks projects.
• Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), and data bricks to support business requirements.
• Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data driven solutions.
• Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
• Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects.
• Collaborate with cross functional teams to integrate data solutions with existing systems and applications.
• Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation.

Position: Senior Data Lead

Location:***Remote ***

Duration: 1 Years

Key Responsibilities

• Lead and manage technical teams, providing guidance and support in the implementation of snowflake, azure data factory (adf), and data bricks projects.
• Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), and data bricks to support business requirements.
• Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data driven solutions.
• Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
• Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects.
• Collaborate with cross functional teams to integrate data solutions with existing systems and applications.
• Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation.

Skill Requirements

• Proficiency in snowflake, including data modeling, querying, and performance optimization.
• Strong experience in azure data factory (adf) for data integration and orchestration.
• Handson knowledge of data bricks for data engineering, data processing, and machine learning.
• Ability to design, develop, and optimize complex data pipelines for etl processes.
• Strong problem-solving skills and the ability to troubleshoot data pipeline issues.
• Excellent communication skills to interact with technical and nontechnical stakeholders effectively.
• Strong leadership skills to guide and motivate technical teams towards project delivery and success.
• Experience in agile methodologies and project management practices for efficient project execution.

Other Requirements

• Relevant certifications in Snowflake, Azure Data Factory (ADF), DataBricks are a plus.