Energy Jobline ZR
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob DescriptionDescription:
We are seeking an experienced
Data Architect
to design, implement, and manage our organization’s data architecture and infrastructure. The ideal candidate will play a key role in shaping our data strategy, ensuring data availability, integrity, scalability, and security across multiple platforms. This role involves close collaboration with IT, engineering, analytics, and business teams to deliver optimized data models and solutions that support business objectives.
Key Responsibilities
Design and maintain scalable
data architecture , including databases, data warehouses, and data lakes.
Develop and enforce
data management standards , best practices, and governance policies.
Collaborate with stakeholders to translate business requirements into
data models and architecture blueprints .
Oversee
ETL (Extract, Transform, Load)
processes and ensure efficient data integration from multiple sources.
Ensure data
security, privacy, and compliance
with relevant regulations (e.g., GDPR, CCPA).
Optimize database performance and troubleshoot data-related issues.
Implement modern
cloud-based data solutions
(e.g., AWS, Azure, or Google Cloud).
Support the design and implementation of
data analytics and business intelligence platforms .
Evaluate and recommend new data technologies, tools, and methodologies.
Mentor and collaborate with data engineers and analysts to ensure architectural consistency and data quality.
Requirements
Bachelor’s or Master’s degree in
Computer Science, Information Systems, Data Engineering , or a related field.
5+ years
of experience in data architecture, data engineering, or database design.
Proven experience with
relational and non-relational databases
(e.g., SQL Server, PostgreSQL, MongoDB).
Experience with
cloud data platforms
such as AWS Redshift, Snowflake, Azure Synapse, or Google BigQuery.
Strong knowledge of
ETL tools
and data integration frameworks (e.g., Informatica, Talend, Apache Airflow).
Familiarity with
data modeling tools
(e.g., ERwin, Lucidchart, PowerDesigner).
Proficiency in
SQL, Python, or other data scripting
.
Solid understanding of
data warehousing concepts , dimensional modeling, and performance tuning.
Experience implementing
data governance ,
metadata management , and
data quality standards .
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob DescriptionDescription:
We are seeking an experienced
Data Architect
to design, implement, and manage our organization’s data architecture and infrastructure. The ideal candidate will play a key role in shaping our data strategy, ensuring data availability, integrity, scalability, and security across multiple platforms. This role involves close collaboration with IT, engineering, analytics, and business teams to deliver optimized data models and solutions that support business objectives.
Key Responsibilities
Design and maintain scalable
data architecture , including databases, data warehouses, and data lakes.
Develop and enforce
data management standards , best practices, and governance policies.
Collaborate with stakeholders to translate business requirements into
data models and architecture blueprints .
Oversee
ETL (Extract, Transform, Load)
processes and ensure efficient data integration from multiple sources.
Ensure data
security, privacy, and compliance
with relevant regulations (e.g., GDPR, CCPA).
Optimize database performance and troubleshoot data-related issues.
Implement modern
cloud-based data solutions
(e.g., AWS, Azure, or Google Cloud).
Support the design and implementation of
data analytics and business intelligence platforms .
Evaluate and recommend new data technologies, tools, and methodologies.
Mentor and collaborate with data engineers and analysts to ensure architectural consistency and data quality.
Requirements
Bachelor’s or Master’s degree in
Computer Science, Information Systems, Data Engineering , or a related field.
5+ years
of experience in data architecture, data engineering, or database design.
Proven experience with
relational and non-relational databases
(e.g., SQL Server, PostgreSQL, MongoDB).
Experience with
cloud data platforms
such as AWS Redshift, Snowflake, Azure Synapse, or Google BigQuery.
Strong knowledge of
ETL tools
and data integration frameworks (e.g., Informatica, Talend, Apache Airflow).
Familiarity with
data modeling tools
(e.g., ERwin, Lucidchart, PowerDesigner).
Proficiency in
SQL, Python, or other data scripting
.
Solid understanding of
data warehousing concepts , dimensional modeling, and performance tuning.
Experience implementing
data governance ,
metadata management , and
data quality standards .
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr