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business intelligence bi data engineer

NCS Multistage LLC

<div><p><b>Job Title &ndash; Business Intelligence (BI) Data Engineer (Snowflake, Spotfire &ndash; Oil &amp; Gas)</b></p><p><b>
Department</b> &ndash; Information Technology</p><p><b>
Reports to</b> &ndash; Director, Business Intelligence</p><p><b>
Location</b> &ndash; Houston, TX (In-Person)</p><p></p><p><b><br>
Job Summary</b></p><p>
We are seeking an experienced Business Intelligence (BI) Data Engineer with deep expertise in Snowflake and TIBCO Spotfire, and proven experience in the Oil &amp; Gas industry, to support and evolve our enterprise analytics platform. The BI Data Engineer will be responsible for designing and maintaining Snowflake data models, supporting and optimizing Spotfire dashboards, and centralizing business logic into governed semantic structures. The ideal candidate understands upstream/midstream/downstream data domains, operational KPIs, and the performance and reliability expectations of industrial environments. This position will play a critical role in migrating semantic logic from Spotfire into Snowflake and ensuring scalable, governed analytics across the organization.</p><p><br>
<b>Key Areas of Responsibility</b></p><ul><li>
Snowflake Data Engineering<ul><li>
Design, build, and maintain dimensional data models (fact/dimension structures) in Snowflake</li><li>
Develop and optimize SQL transformations and governed analytic views</li><li>
Centralize KPI logic and business rules within Snowflake</li><li>
Monitor and optimize warehouse performance and credit usage</li><li>
Implement RBAC and security controls aligned with compliance requirements</li><li>
Maintain data lineage documentation and data governance standards</li></ul></li><li>
Spotfire Support &amp; Optimization<ul><li>
Support and maintain enterprise Spotfire dashboards and reports</li><li>
Troubleshoot performance and data connectivity issues</li><li>
Extract and translate business logic embedded in Spotfire into Snowflake SQL</li><li>
Ensure Spotfire connects only to governed semantic views</li><li>
Optimize query performance for in-database analytics</li></ul></li><li>
Oil &amp; Gas Data Domain Expertise<ul><li>
Work with operational, financial, and production datasets</li><li>
Understand and model industry KPIs (e.g., production volumes, job performance, cost per stage, margin analysis, utilization, etc.)</li><li>
Collaborate with operations, engineering, and finance teams to translate business requirements into scalable data structures</li><li>
Ensure data models reflect real-world field and operational processes</li></ul></li><li>
Migration &amp; Architecture<ul><li>
Partner with BI Analysts and external BI developers to migrate semantic logic from Spotfire to Snowflake</li><li>
Standardize naming conventions and modeling best practices</li><li>
Improve scalability, reliability, and performance of the analytics platform</li><li>
Support long-term enterprise data strategy initiatives</li></ul></li><li>
Support and uphold HS&amp;E policies and procedures of NCS and the customer</li><li>
Align individual goals with NCS corporate goals, while adhering to the NCS Promise</li><li>
Participate in your Personal Development for Success (PDS)</li><li>
Other duties, relevant to the position, shall be assigned as required</li></ul><p><b>
Knowledge, Skills and Abilities</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience)</li><li>
5+ years of experience in BI or data engineering roles</li><li>
Strong hands-on experience with Snowflake (data modeling, SQL optimization, warehouse management)</li><li>
Advanced experience supporting TIBCO Spotfire dashboards in production environments</li><li>
Experience working in the Oil &amp; Gas industry (mandatory)</li><li>
Strong SQL skills (joins, CTEs, window functions, performance tuning)</li><li>
Experience designing dimensional data models</li><li>
Experience working with large operational datasets</li><li>
Experience migrating semantic logic from BI tools into centralized data warehouse environments</li><li>
Experience in SOX or regulated environments</li><li>
Familiarity with orchestration tools (Airflow, Azure Data Factory, or similar)</li><li>
Experience optimizing Snowflake compute costs</li><li>
Experience collaborating with outsourced or cross-functional BI teams</li><li>
The ideal candidate:<ul><li>
Understands both Snowflake architecture and Spotfire consumption patterns</li><li>
Has real-world Oil &amp; Gas industry experience</li><li>
Thinks in terms of scalable, governed enterprise data models</li><li>
Can support operational dashboards while strengthening backend architecture</li><li>
Balances technical depth with business awareness</li></ul></li></ul><p><b>
Additional Information</b></p><ul><li><b>
FLSA Status:</b> Exempt</li><li><b>
Employment Classification:</b> Full-time, Regular</li><li><b>
Work schedule:</b> 5 days on, 2 days off; Monday to Friday 8:00am &ndash; 5:00pm, on-call 24/7 for support</li><li><b>
Travel:</b> 15-20% domestic travel required; some international travel may be required</li><li><b>
Target Discretionary Bonus: </b>Eligible</li><li><b>
Special Equipment:</b> Laptop</li><li>
Criminal background check required for all positions</li><li>
Safety sensitive positions will require additional pre-employment testing</li></ul><p><b>
Core Competencies</b></p><ul><li>
Enterprise Data Architecture</li><li>
Oil &amp; Gas Domain Expertise</li><li>
Performance Optimization</li><li>
Governance &amp; Compliance Awareness</li><li>
Analytical Problem Solving</li><li>
Cross-Functional Collaboration</li><li>
Accountability &amp; Continuous Improvement</li></ul></div>

Business Intelligence (BI) Data Engineer

Sagis, PLLC

<p>Sagis Diagnostics is a growing pathology and laboratory diagnostics organization committed to delivering accurate, timely, and patient-centered diagnostic services. Our data team is at the heart of our operational intelligence, building the pipelines, platforms, and reporting infrastructure that enable clinical and business decisions at scale.<br/></p><p>Data Engineer Level II<br/></p><p>We are seeking a seasoned Data Engineer with deep hands-on experience designing, building, and maintaining complex ETL pipelines and data workflows. This role sits within our Data Architecture team and is central to evolving our data platform across cloud, on-premise, and hybrid environments. The ideal candidate is a battle-tested practitioner, someone whose expertise was earned in production, not just in coursework.<br/></p><p>Design, build, and maintain scalable ETL/ELT pipelines that move data across disparate source systems including LIS (Laboratory Information Systems), billing platforms, and cloud data stores.<br/>Develop and optimize data workflows in Databricks using PySpark, Delta Lake, and Unity Catalog, following medallion architecture (Bronze Silver Gold) patterns.<br/>Architect and manage data integrations with Azure Data Factory, Azure SQL Managed Instance, and Azure Blob/ADLS Gen2 storage.<br/>Collaborate closely with the Director of Data Architecture to plan, execute, and document major pipeline and schema changes.<br/>Build and maintain robust Python-based automation scripts, data quality checks, and monitoring routines.<br/>Support reporting and analytics platforms including Power BI and Zoho Analytics, ensuring clean, performant data models and dataset refresh pipelines.<br/>Participate in schema design and maintenance for SQL Server environments including stored procedures, views, and schema-level organization.<br/>Contribute to data governance practices: access controls, Unity Catalog permissions, lineage documentation, and change management.<br/>Engage with internal stakeholders (clinical, billing, operations) to translate business requirements into data engineering solutions.<br/>Identify and resolve data quality, latency, and pipeline reliability issues proactively.<br/></p><p>Required Skills and Experience<br/></p><p>Technical Skills<br/></p><p>ETL &amp; Data Pipelines<br/></p><p>5+ years of hands-on experience building production-grade ETL/ELT pipelines.<br/>Proficiency with pipeline orchestration and scheduling (Azure Data Factory, Apache Airflow, or similar).<br/>Strong understanding of data modeling &mdash; relational, dimensional, and lakehouse patterns.<br/></p><p>Databricks<br/></p><p>Significant, production-level Databricks experience &mdash; Unity Catalog, Delta Lake, PySpark, and cluster/job management.<br/>Familiarity with medallion architecture and incremental/merge data loading strategies.<br/></p><p>Azure Ecosystem<br/></p><p>Demonstrated experience with Azure Data Factory for pipeline orchestration and data movement.<br/>Proficiency with Azure SQL Managed Instance and Azure Blob / ADLS Gen2.<br/>Familiarity with Azure networking, managed identities, and role-based access controls.<br/></p><p>SQL &amp; Database Engineering<br/></p><p>Expert-level SQL skills including complex joins, window functions, CTEs, stored procedures, and performance tuning.<br/>Experience working within structured schema environments (SQL Server / Azure SQL MI).<br/></p><p>Python<br/></p><p>Strong Python skills for data pipeline development, automation, and API integrations.<br/>Experience with libraries such as pandas, pyodbc, requests, and Azure SDKs.<br/></p><p>Preferred Qualifications:<br/>Experience with Power BI including dataset modeling, dataflows, and gateway configuration.<br/>Experience with Zoho Analytics including workspace management, custom queries, and report/dashboard development.<br/>Healthcare industry experience, particularly in laboratory diagnostics, pathology, or revenue cycle management.<br/>Exposure to medical coding systems including CPT (Current Procedural Terminology) and ICD-10 code structures and their use in clinical billing workflows.<br/>Familiarity with Laboratory Information Systems (LIS) or billing platforms such as VitalAxis or HealthPac.<br/>Experience with Microsoft Graph API or SharePoint integration for collaborative data workflows.<br/>Snowflake experience for hybrid or partner data ingestion scenarios.<br/>Exposure to Databricks Partner Connect, external table sharing, or cross-cloud data patterns.<br/></p><p>Education:<br/></p><p>A bachelor's degree in Computer Science, Information Systems, or a related technical field is preferred but we place demonstrated industry experience above academic credentials. Candidates with a strong portfolio of delivered data engineering work and a track record of solving hard problems in production environments are strongly encouraged to apply regardless of formal degree.<br/></p><p>Why Join Sagis?<br/></p><p>At Sagis, we are committed to creating an environment where our employees can thrive and grow. We offer:<br/></p><p>Comprehensive Benefits:<br/></p><p>Medical, Dental, and Vision with Blue Cross/Blue Shield.<br/>Company-paid Short-Term and Long-Term Disability, Basic Life, and EAP.<br/>Voluntary Accident, Critical Illness, and Life Insurance options.<br/></p><p>Work-Life Balance:<br/></p><p>Flexible Scheduling and Fair Wages.<br/>Paid Time Off, Floating Holidays, and Scheduled Holidays.<br/>Paid Parental Leave.<br/></p><p>Additional Perks:<br/></p><p>401(k) Contribution.<br/>Free Parking.<br/>Wellness Initiatives and a collaborative team culture.<br/></p><p>Work Location: In person<br/></p>

Data Engineer II- Onsite (77092)

Perry Homes

<div><p><b>About The Role</b></p><p>
The Business Intelligence Analyst II is responsible for working with business leaders to identify improvements on productivity and profitability, through the usage of data analysis and powerful insights. This position is also responsible for assisting in implementing or developing new processes to capture business operation information.</p><p></p><p><b>
What You&rsquo;ll Do</b></p><ul><li>
Design, build, deliver and maintain reporting for all areas of the business using Power BI.</li><li>
Participate in business and executive meetings to gather requirements and provide reporting solutions and recommendations.</li><li>
Translate business needs into high-level technical specifications and design in Power BI.</li><li>
Develop understanding of the business processes, data sets and Power BI deliverables.</li><li>
Use knowledge of the data available to enhance requirements and provide insightful suggestions to business stakeholders.</li><li>
Guide less exprianced Business Intelligence Analysts.</li><li>
Assist in the daily support of end-users&rsquo; ability to effectively and efficiently utilize the reporting platform.</li></ul><br>
<b>
Requirements</b><p><b><br>
What We&rsquo;re Looking For</b></p><ul><li>
High School Diploma or equivalent required; college degree preferred</li><li>
Minimum of 3 years of analytical and problem-solving experience.</li><li>
Working knowledge of Power BI and data warehouse concepts and terminology required.</li><li>
Detail-oriented person who is passionate about accuracy and quality of data as well as enthusiastic about new technology.</li><li>
Ability to analyze, recognize errors and ask effective questions.</li></ul><br>
<b>
Benefits</b><p><b><br>
Why You Will Love Working Here</b></p><ul><li>
Competitive compensation and benefits package:</li><li><ul><li>
Medical, dental, vision coverage</li><li>
Financial Planning</li><li>
Time Off &amp; Life Balance</li><li>
Family &amp; Lifestyle</li></ul></li><li>
Opportunities for growth and development</li><li>
Culture that is collaborative, inclusive, fast-paced, people-first</li><li>
Stable company with strong reputation in the market</li></ul><p></p><p><b>
Why Join Perry Homes?</b></p><p>
At Perry Homes, we&rsquo;re committed to integrity, excellence, and service&mdash;values that guide every customer interaction. Join a team where your work directly contributes to an exceptional homebuying experience and a trusted brand. We&rsquo;re committed to creating an inclusive workplace where people can do their best work.</p><p></p><p><i>
***Note to job seekers: Your resume will be reviewed as the best qualified candidates will be contacted in the event that there is potential match***</i>
</p><p><i>Perry Homes is an Equal Opportunity Employer</i>
</p><p><b>Disclaimer:</b> <i>Recruitment Fraud</i> &ndash; Any communication regarding job opportunities from our organization will be initiated through official channels only, including our company email domain, @perryhomes.com and verified social media accounts. We advise candidates to exercise caution and refrain from sharing personal or sensitive information with any party claiming to represent our company outside of these channels. We do not at any early stage of recruitment process solicit personal information (e.g., passport and bank account info), financial details, or any form of payment (e.g., application fee). If you receive suspicious communications, encounter job postings that appear fraudulent, or want to confirm any employment postings, please contact hrinfo@perryhomes.com.</p></div>

Business Intelligence Analyst

PARKHILL

<div>Overview:
<div>
The Senior Data &amp; AI Engineer will design, build, and maintain the infrastructure and systems that power data and AI use cases at Parkhill. This role focuses on data pipelines, production AI systems, and scalable platforms that enable data analyst/scientists and business teams to work efficiently with reliable, high-quality data.
</div>Responsibilities:
<ul><li>Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure</li><li>
Design, implement, and maintain end-to-end data pipelines from AEC specific source systems (ex. Civil3D, Revit, Procore, etc.) into a use-case-ready environment</li><li>
Collaborate with business SMEs, data analysts/scientists, and the Digital Practice group to provide reliable and clean data</li><li>
Build and deploy machine learning and AI models into production environments, ensuring scalability and reliability</li><li>
Manage cloud platforms and data storage systems
</li><li>Develop APIs and platforms to enable integration of AI solutions into business use cases</li><li>
Optimize data systems for speed, efficiency, and reliability</li><li>
Mentor junior engineers and provide technical leadership for data infrastructure initiatives</li></ul>
Qualifications:
<ul><li>7+ years in data engineering, AI engineering, or software engineering roles, preferably in the AEC industry</li><li>
Experience with cloud platforms (Azure, AWS) and big data tools
</li><li>Strong proficiency in Python, SQL, and data engineering frameworks</li><li>
Experience deploying ML/AI models into production (Docker, Kubernetes)</li><li>
Familiarity with AI/ML frameworks for production use</li><li>
Experience with data visualization/BI tools (Power BI, Tableau) a plus</li><li>
Understanding of data security, governance, and compliance standards</li></ul></div>

Senior Data & AI Engineer

<div>Overview:
<div>
The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate actionable insights that drive business decisions and project outcomes and support data and AI use cases. This role focuses on analyzing complex datasets, building predictive models, and advising multidisciplinary teams in architecture, engineering, and consulting services. The Senior Data Scientist will also contribute to the development of best practices for data and AI across the organization. This is a full-time position paid bi-weekly on a salary basis.</div><div></div><div><b><br>
Life at Parkhill</b></div><div><div>
At Parkhill, Building Community is the reason we exist. We invest in extraordinary people who love investing in their communities. We are more than planners, architects, and engineers &mdash; we are neighbors who choose to live and work in the communities we serve.</div></div><div></div><div><div><br>
Increase your impact with our team of passionate collaborators. Whether you are a recent graduate with untapped potential or a professional with proven experience, we invite you to discover a career path designed for you.</div></div><div></div><div><div><br>
Parkhill is one of the largest architectural and engineering firms in the Southwest with 14 offices located throughout Texas, New Mexico, and Oklahoma.</div></div>
Responsibilities:
<ul><li>Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure</li><li>
Analyze large, diverse datasets to identify trends, patterns, and opportunities for operational or project improvements.</li><li>
Develop predictive models and statistical analyses to inform planning, forecasting, and decision-making.</li><li>
Create dashboards and visualizations that communicate insights to both technical and non-technical stakeholders.</li><li>
Apply AI and machine learning methods, including generative AI, to support data and AI use cases.</li><li>
Collaborate with business SMEs, data engineer, and the Digital Practice group to translate analytics into actionable recommendations.</li><li>
Contribute to the growth of Parkhill&rsquo;s data science capabilities.</li><li>
Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field</li><li>
7+ years in data science, analytics, or AI roles</li><li>
Experience with AEC, engineering, or consulting environments</li><li>
Strong proficiency in Python or R, including relevant ML libraries</li><li>
Expertise in SQL and experience with data visualization tools (Power BI, Tableau)</li><li>
Familiarity with cloud platforms (Azure, AWS) for analytics and model deployment</li><li>
Experience with generative AI frameworks</li></ul><div><b>
Benefits and Perks</b></div><div>
We offer a comprehensive benefits program that supports the whole person. Our benefits include:</div><ul><li><div>
Life Balance: hybrid/flexible work schedules, flexible work environment, generous PTO, paid holidays.</div></li><li><div>
Investing in Your Future Growth: specialized training, continuing education, professional licensing, intern development programs, University of Parkhill.</div></li><li><div>
Competitive Benefits: Multiple health plan options, FSA for dependent care, HSA contributions, employer 401k contribution, employer-paid basic life, short/long term disability coverage, performance bonuses.</div></li></ul></div>

Senior Data Scientist

Talen Energy

<div><div>Position Overview - Workforce Insights &amp; Reporting</div><div></div><div><br>
The Talent Acquisition team is seeking a highly analytical graduate-level intern to support workforce insights, reporting, and dashboard development initiatives. This role will focus on transforming recruiting and workforce planning data into meaningful visualizations that enable data-driven hiring decisions.</div><div></div><div>
The intern will partner closely with internal teams and collaborate w leveraging approved enterprise data sources and tools to develop reporting solutions that improve visibility into hiring demand, pipeline activity, and workforce trends.</div><div></div><div>
This position is embedded within Talent Acquisition to ensure alignment with business priorities while working cross-functionally with enterprise data partners.</div><div></div><div>
Key Responsibilities</div><ul><li><div>
Develop dashboards and visualizations using advanced Excel and/orPower BI</div></li><li><div>
Integrate data related to:</div><ul><li><div>
Headcount and organizational structure</div></li><li><div>
Open requisitions and hiring activity</div></li><li><div>
Workforce planning projections and future demand</div></li><li><div>
Recruiting pipeline and performance metrics</div></li></ul></li><li><div>
Translate business questions into analytical outputs and actionable insights</div></li><li><div>
Support workforce planning and recruiting strategy through data modeling and reporting</div></li><li><div>
Partner with HRIS and IT teams to ensure data accuracy, integrity, and alignment with governance standards</div></li><li><div>
Create documentation and user guides for dashboards and reporting tools</div></li><li><div>
Identify opportunities to improve reporting automation and efficiency</div></li><li><div>
Support leadership presentations with analytics and visual storytelling</div></li></ul><div></div><div>
Minimum Qualifications</div><ul><li><div>
Currently pursuing a Master&rsquo;s degree in a quantitative or business discipline such as:</div><ul><li><div>
Business Analytics</div></li><li><div>
Data Analytics</div></li><li><div>
Information Systems</div></li><li><div>
Industrial-Organizational Psychology</div></li><li><div>
Human Resources Analytics</div></li><li><div>
Data Science</div></li><li><div>
MBA with analytics or HR concentration</div></li><li><div>
Or a related field with a strong analytical component</div></li></ul></li><li><div>
Experience with Excel and/or Power BI</div></li><li><div>
Strong analytical and problem-solving skills</div></li><li><div>
Ability to communicate insights to non-technical stakeholders</div></li><li><div>
Attention to detail and organizational skills</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
Advanced Excel skills (pivot tables, formulas, data transformation, Power Query)</div></li><li><div>
Experience with Power BI data modeling or visualization tools</div></li><li><div>
Familiarity with HR, recruiting, or workforce data concepts</div></li><li><div>
Experience working with structured datasets from enterprise systems</div></li><li><div>
Coursework in statistics, data analytics, or business intelligence</div></li></ul><div></div><div>
Why Talen Energy?</div><div></div><div>
Power the Future</div><div></div><div>
Talen Energy is one of the largest competitive energy and power generation companies in North America. We operate power plants that use diverse fuel sources in the most attractive wholesale power markets and sell energy to wholesale and retail customers in selected competitive markets. Our passion for excellence grows value through safe and efficient operations. We have an inclusive, diverse, respectful, and collaborative workplace, and a strong commitment to innovation, teamwork, and integrity. We generate energy for a brighter tomorrow.</div><div></div><div>
Collaboration</div><div></div><div>
Our passion for excellence grows value through safe and efficient operations. We have an inclusive, diverse, respectful, and collaborative workplace.</div><div>
Talen Energy offers an exceptional benefits program to its employees. Benefits include comprehensive health, dental, vision, prescription plans, life insurance, and disability insurance. In addition, employees are eligible to participate in Talen Energy&rsquo;s 401(k) plan. Talen Energy also provides competitive vacation and sick time to its employees.</div><div></div><div>
We are committed to providing a safe, drug and alcohol-free workplace. Consistent with applicable law and any collective bargaining agreements, positions may be subject to pre-employment, random, post-accident, and reasonable suspicion drug and alcohol testing.</div><div></div><div>
Talen Energy is an equal opportunity, affirmative action employer dedicated to diversity and the strength it brings to the workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, veteran status, sexual orientation, genetic information, gender identity, disability, perceived disability or any other protected characteristic as may be defined by applicable law.</div><div></div><div>
If you need assistance with the application process, please email us at Careers@talenenergy.com</div><div></div><div>
Please note that roles supporting Talen Energy&rsquo;s nuclear facilities are subject to rigorous background investigation and security clearance requirements consistent with federal regulatory standards.</div><div></div><div>
Note to Search Firms and Recruitment Agencies</div><div>
Talen Energy is committed to fostering direct engagement with prospective candidates and managing our recruitment activities internally. From time to time, Talen Energy and its companies partner with select executive search firms and recruitment agencies under formal, written agreements aligned to specific business needs.</div><div></div><div>
Talen Energy does not accept unsolicited resumes or candidate submissions from search firms or agencies without a current fully executed agreement authorized by an appropriate company representative. Any candidate information submitted in the absence of such an agreement will be considered the property of Talen Energy, and neither Talen Energy nor its subsidiaries will be obligated to pay any fees or compensation related to those submissions.</div><div></div><div>
Note: You will have an opportunity to add attachments to your application. Please use this opportunity to upload your resume, cover letter, and any relevant documents .</div></div>

Talent Acquisition Analytics Intern

Forum Energy Technologies

<div><p><b>Job Summary:</b></p>
<p>
We are seeking a technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This role is pivotal to our AI transformation journey, enabling autonomous AI agents that streamline operations, enhance decision-making, and unlock new efficiencies across the organization. The ideal candidate will possess a hybrid skill set spanning machine learning, data engineering, and software development, with a passion for building scalable AI systems and a strong foundation in data governance.</p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions (e.g., IT, HR, Finance, Operations).</li>
<li>Collaborate with cross-functional teams to identify high-impact AI use cases and translate them into technical solutions.</li>
<li>Build and maintain robust ML pipelines, including data ingestion, model training, deployment, and monitoring (MLOps).</li>
<li>Lead data standardization initiatives to ensure high-quality, consistent, and AI-ready data across systems.</li>
<li>Partner with data engineering and IT teams to define and implement data governance frameworks, taxonomies, and metadata standards.</li>
<li>Monitor and optimize AI model performance in production environments, ensuring reliability, scalability, and alignment with business goals.</li>
<li>Serve as a technical advisor on AI/ML best practices, tools, and emerging technologies.</li>
<li>Support change management efforts to improve data literacy and promote standardization best practices</li>
<li>Stay ahead of industry trends and maintain compliance with evolving regulations affecting AI and data.</li>
</ul>
<p><b>Required Qualifications:</b></p>
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.</li>
<li>5+ years of experience in machine learning engineering, data science, or AI solution development.</li>
<li>Proven experience deploying ML models into production environments using cloud platforms (e.g., Azure, AWS, GCP).</li>
<li>Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.</li>
<li>Strong understanding of data structures, algorithms, and software engineering principles.</li>
<li>Experience with data governance, data quality frameworks, and enterprise data architecture.</li>
<li>Familiarity with MLOps tools and practices (e.g., CI/CD for ML, model monitoring, versioning).</li>
<li>Excellent communication skills and ability to collaborate across technical and non-technical teams.</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Experience building or integrating AI agents or autonomous systems.</li>
<li>Knowledge of enterprise systems (e.g., ERP, CRM) and their data structures.</li>
<li>Familiarity with data visualization tools (e.g., Power BI / SSRS) and SQL.</li>
<li>Experience with multi-agent systems or agent orchestration frameworks.</li></ul></div>

AI Architect

Explore 569+ Business intelligence bi data engineer in Houston this March. Find roles across top companies and apply now to boost your career.