Company:
Shiftcode Analytics, Inc
Location: Houston
Closing Date: 19/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Data Architect - POWERPLATFORM AND OIL AND GAS
Location- Houston, TX
Hybrid- 3 days onsite/2 onsite
Duration- 12 Months
Data Architect
Position Summary:
We are seeking an experienced Data Architect with expertise in the Microsoft Power Platform to design, implement, and manage robust data architectures that support our organization's data strategy. The ideal candidate will have a strong background in data management, data integration, and data governance, combined with proficiency in the Power Platform to drive innovative solutions that leverage data to meet business objectives.
Key Responsibilities:
Design and Implementation:
Develop comprehensive data architectures that align with business needs and strategic goals.
Design and implement data models, data warehouses, and data lakes to support analytics and reporting.
Utilize Power Platform tools (Power BI, Power Automate, Power Apps) to create scalable data solutions.
Data Integration:
Design and manage data integration processes to ensure seamless data flow across systems.
Develop ETL (Extract, Transform, Load) pipelines to ingest and process data from various sources, including on-premises and cloud-based systems.
Data Governance:
Establish and enforce data governance policies and procedures to ensure data quality, security, and compliance.
Monitor and maintain data integrity and accuracy across all data assets.
Collaboration and Stakeholder Management:
Work closely with business stakeholders to understand their data needs and translate them into technical requirements.
Collaborate with IT teams, data scientists, and analysts to ensure cohesive data strategy implementation.
Provide guidance and mentorship to junior data engineers and developers.
Power Platform Expertise:
Develop and manage Power BI reports and dashboards to provide actionable insights.
Utilize Power Automate to streamline and automate data workflows and business processes.
Create custom applications using Power Apps to solve specific business challenges.
Required Skills and Qualifications:
Technical Expertise:
Proven experience as a Data Architect or similar role, with a strong understanding of data architecture principles.
Proficiency in Microsoft Power Platform tools, including Power BI, Power Automate, and Power Apps.
Strong knowledge of data modeling, database design, and data warehousing concepts.
Experience with ETL tools and processes, including knowledge of SQL and other data manipulation languages.
Data Management:
Expertise in data integration techniques and best practices.
Familiarity with data governance frameworks and experience implementing data governance policies.
Ability to manage and optimize large datasets for performance and scalability.
Analytical and Problem-Solving Skills:
Strong analytical skills with the ability to interpret complex data sets and derive meaningful insights.
Excellent problem-solving abilities to address data-related challenges and issues.
Communication and Collaboration:
Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Strong collaboration skills to work effectively with cross-functional teams and stakeholders.
Ability to manage multiple projects and priorities in a fast-paced environment.
Preferred Qualifications:
Experience with cloud platforms such as Azure or AWS.
Familiarity with machine learning and advanced analytics techniques.
Certification in Microsoft Power Platform or related technologies.
Education:
Bachelor's degree in Computer Science, Information Technology, or a related field. A master's degree is preferred.
Personal Attributes:
Detail-oriented with a strong focus on data accuracy and quality.
Proactive and innovative mindset, always looking for ways to improve data processes and solutions.
High level of integrity and accountability, with a commitment to delivering high-quality results.
Skills Needed:
Data Architecture: Expertise in designing and implementing robust data architectures that align with business objectives and support data-driven decision-making.
Power Platform Proficiency: Mastery of Microsoft Power Platform tools, including Power BI for data visualization, Power Automate for workflow automation, and Power Apps for app development.
Data Modeling: Strong understanding of data modeling principles and techniques to design efficient and scalable data models that facilitate data analysis and reporting.
ETL Processes: Experience with Extract, Transform, Load (ETL) processes to extract data from various sources, transform it into usable formats, and load it into data warehouses or databases.
Data Integration: Proficiency in integrating data from multiple sources, including on-premises and cloud-based systems, to ensure seamless data flow across the organization.
Data Governance: Knowledge of data governance frameworks and best practices to establish and enforce policies for data quality, security, and compliance.
SQL and Data Manipulation: Strong command of SQL (Structured Query Language) and other data manipulation languages to query, manipulate, and analyze large datasets efficiently.
Analytical Skills: Excellent analytical skills to interpret complex data sets, identify patterns, trends, and insights, and derive actionable recommendations.
Communication Skills: Effective communication skills to articulate technical concepts to non-technical stakeholders, collaborate with cross-functional teams, and present findings and recommendations clearly and concisely.
Problem-Solving Abilities: Strong problem-solving abilities to address data-related challenges and issues, troubleshoot technical issues, and develop innovative solutions to meet business needs.
These skills are essential for a Data Architect role with Power Platform experience, enabling the successful design, implementation, and management of data solutions that drive business value and enable informed decision-making
Location- Houston, TX
Hybrid- 3 days onsite/2 onsite
Duration- 12 Months
Data Architect
Position Summary:
We are seeking an experienced Data Architect with expertise in the Microsoft Power Platform to design, implement, and manage robust data architectures that support our organization's data strategy. The ideal candidate will have a strong background in data management, data integration, and data governance, combined with proficiency in the Power Platform to drive innovative solutions that leverage data to meet business objectives.
Key Responsibilities:
Design and Implementation:
Develop comprehensive data architectures that align with business needs and strategic goals.
Design and implement data models, data warehouses, and data lakes to support analytics and reporting.
Utilize Power Platform tools (Power BI, Power Automate, Power Apps) to create scalable data solutions.
Data Integration:
Design and manage data integration processes to ensure seamless data flow across systems.
Develop ETL (Extract, Transform, Load) pipelines to ingest and process data from various sources, including on-premises and cloud-based systems.
Data Governance:
Establish and enforce data governance policies and procedures to ensure data quality, security, and compliance.
Monitor and maintain data integrity and accuracy across all data assets.
Collaboration and Stakeholder Management:
Work closely with business stakeholders to understand their data needs and translate them into technical requirements.
Collaborate with IT teams, data scientists, and analysts to ensure cohesive data strategy implementation.
Provide guidance and mentorship to junior data engineers and developers.
Power Platform Expertise:
Develop and manage Power BI reports and dashboards to provide actionable insights.
Utilize Power Automate to streamline and automate data workflows and business processes.
Create custom applications using Power Apps to solve specific business challenges.
Required Skills and Qualifications:
Technical Expertise:
Proven experience as a Data Architect or similar role, with a strong understanding of data architecture principles.
Proficiency in Microsoft Power Platform tools, including Power BI, Power Automate, and Power Apps.
Strong knowledge of data modeling, database design, and data warehousing concepts.
Experience with ETL tools and processes, including knowledge of SQL and other data manipulation languages.
Data Management:
Expertise in data integration techniques and best practices.
Familiarity with data governance frameworks and experience implementing data governance policies.
Ability to manage and optimize large datasets for performance and scalability.
Analytical and Problem-Solving Skills:
Strong analytical skills with the ability to interpret complex data sets and derive meaningful insights.
Excellent problem-solving abilities to address data-related challenges and issues.
Communication and Collaboration:
Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Strong collaboration skills to work effectively with cross-functional teams and stakeholders.
Ability to manage multiple projects and priorities in a fast-paced environment.
Preferred Qualifications:
Experience with cloud platforms such as Azure or AWS.
Familiarity with machine learning and advanced analytics techniques.
Certification in Microsoft Power Platform or related technologies.
Education:
Bachelor's degree in Computer Science, Information Technology, or a related field. A master's degree is preferred.
Personal Attributes:
Detail-oriented with a strong focus on data accuracy and quality.
Proactive and innovative mindset, always looking for ways to improve data processes and solutions.
High level of integrity and accountability, with a commitment to delivering high-quality results.
Skills Needed:
Data Architecture: Expertise in designing and implementing robust data architectures that align with business objectives and support data-driven decision-making.
Power Platform Proficiency: Mastery of Microsoft Power Platform tools, including Power BI for data visualization, Power Automate for workflow automation, and Power Apps for app development.
Data Modeling: Strong understanding of data modeling principles and techniques to design efficient and scalable data models that facilitate data analysis and reporting.
ETL Processes: Experience with Extract, Transform, Load (ETL) processes to extract data from various sources, transform it into usable formats, and load it into data warehouses or databases.
Data Integration: Proficiency in integrating data from multiple sources, including on-premises and cloud-based systems, to ensure seamless data flow across the organization.
Data Governance: Knowledge of data governance frameworks and best practices to establish and enforce policies for data quality, security, and compliance.
SQL and Data Manipulation: Strong command of SQL (Structured Query Language) and other data manipulation languages to query, manipulate, and analyze large datasets efficiently.
Analytical Skills: Excellent analytical skills to interpret complex data sets, identify patterns, trends, and insights, and derive actionable recommendations.
Communication Skills: Effective communication skills to articulate technical concepts to non-technical stakeholders, collaborate with cross-functional teams, and present findings and recommendations clearly and concisely.
Problem-Solving Abilities: Strong problem-solving abilities to address data-related challenges and issues, troubleshoot technical issues, and develop innovative solutions to meet business needs.
These skills are essential for a Data Architect role with Power Platform experience, enabling the successful design, implementation, and management of data solutions that drive business value and enable informed decision-making
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