Data Architect

4 weeks ago

Houston, Texas, United States ShiftCode Analytics Full time
Job Title: Data Architect - Power Platform and Oil and Gas

Job 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.

Key Responsibilities:

* 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:

* 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.

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