Role Name: Data - Tech Lead
Remote - Only W2
Role Description:
As a Data - Tech Lead you will oversee the technical delivery of data solutions guiding a team of data engineers and analysts to design build and maintain scalable data platforms. You will be responsible for setting technical standards driving best practices and ensuring data solutions align with business objectives. This role requires strong leadership deep technical expertise in data engineering and the ability to collaborate across teams to deliver high-quality reliable data products.
Key Responsibilities:
-
- Lead the design development and maintenance of scalable data platforms and pipelines
- Set technical standards and best practices for data engineering and analytics
- Guide and mentor data engineers and analysts fostering a culture of excellence
- Collaborate with business stakeholders to translate requirements into technical solutions
- Ensure data quality integrity and security across all data products
- Oversee performance tuning optimization and troubleshooting of data systems
- Drive adoption of new data technologies and methodologies
- Develop and maintain technical documentation and knowledge sharing resources
- Monitor and report on data platform health usage and performance
- Support data governance initiatives and ensure compliance with relevant policies
Required Skills:
-
- Proven experience leading data engineering or analytics teams
- Experienced with the concept of Centralization and De-centralization of Information establishing Medallion Pattern and Data Mesh Architecture
- Strong proficiency in data engineering tools and technologies (Databricks Power BI SQL Python Spark Hadoop)
- Expertise in designing and building data pipelines and ETL processes
- Experience with cloud data platforms (Azure GCP) and data warehousing solutions (Snowflake Redshift BigQuery)
- Deep understanding of data modeling data architecture and database design (relational and NoSQL)
- Knowledge of data governance data quality and security best practices
- Experience with workflow orchestration tools (Airflow Luigi)
- Strong problem-solving and analytical skills
- Excellent communication documentation and stakeholder management abilities
- Ability to mentor and guide team members in technical and professional development
Nice to Have Experiences/Skills:
-
- Experience with machine learning platforms and data science workflows
- Familiarity with real-time data processing and streaming technologies (Kafka Flink)
- Exposure to data visualization and BI tools (Tableau Power BI)
- Experience in regulated industries (finance healthcare)
Required Skills:
Azuregcpdatabricks
Role Name: Data - Tech Lead Remote - Only W2 Role Description: As a Data - Tech Lead you will oversee the technical delivery of data solutions guiding a team of data engineers and analysts to design build and maintain scalable data platforms. You will be responsible for setting technical standards d...
Role Name: Data - Tech Lead
Remote - Only W2
Role Description:
As a Data - Tech Lead you will oversee the technical delivery of data solutions guiding a team of data engineers and analysts to design build and maintain scalable data platforms. You will be responsible for setting technical standards driving best practices and ensuring data solutions align with business objectives. This role requires strong leadership deep technical expertise in data engineering and the ability to collaborate across teams to deliver high-quality reliable data products.
Key Responsibilities:
-
- Lead the design development and maintenance of scalable data platforms and pipelines
- Set technical standards and best practices for data engineering and analytics
- Guide and mentor data engineers and analysts fostering a culture of excellence
- Collaborate with business stakeholders to translate requirements into technical solutions
- Ensure data quality integrity and security across all data products
- Oversee performance tuning optimization and troubleshooting of data systems
- Drive adoption of new data technologies and methodologies
- Develop and maintain technical documentation and knowledge sharing resources
- Monitor and report on data platform health usage and performance
- Support data governance initiatives and ensure compliance with relevant policies
Required Skills:
-
- Proven experience leading data engineering or analytics teams
- Experienced with the concept of Centralization and De-centralization of Information establishing Medallion Pattern and Data Mesh Architecture
- Strong proficiency in data engineering tools and technologies (Databricks Power BI SQL Python Spark Hadoop)
- Expertise in designing and building data pipelines and ETL processes
- Experience with cloud data platforms (Azure GCP) and data warehousing solutions (Snowflake Redshift BigQuery)
- Deep understanding of data modeling data architecture and database design (relational and NoSQL)
- Knowledge of data governance data quality and security best practices
- Experience with workflow orchestration tools (Airflow Luigi)
- Strong problem-solving and analytical skills
- Excellent communication documentation and stakeholder management abilities
- Ability to mentor and guide team members in technical and professional development
Nice to Have Experiences/Skills:
-
- Experience with machine learning platforms and data science workflows
- Familiarity with real-time data processing and streaming technologies (Kafka Flink)
- Exposure to data visualization and BI tools (Tableau Power BI)
- Experience in regulated industries (finance healthcare)
Required Skills:
Azuregcpdatabricks
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