Join one of the largest privately-owned companies generating $8.3B in revenue! Be part of a stable environment with 0 layoffs since COVID while setting the groundwork for how Denodo is utilized, influencing key data strategies. Position Highlights:<ul><li>Lead the enhancement and optimization of the company's data architecture using Denodo.</li><li>Work in a well-established environment where Denodo is already implemented and stabilized.</li><li>Leverage Denodo to meet all data visualization needs.</li><li>Data Engineers with relevant skills and experience will be considered for this role.</li></ul> Key Requirements:<ul><li>Denodo Expertise: Hands-on experience with data virtualization using Denodo, including administration, development, installation, and configuration. Must be knowledgeable in Denodo features like Data Catalog, Data Movement, and Resource Manager.</li><li>SQL: Experience with SQL for data modeling, optimization, and management. Proficiency in querying and manipulating data is crucial.</li><li>AWS: Experience with AWS services (S3, EC2) for scaling data platforms. Candidates with Azure experience will also be considered.</li></ul> Position Details:<ul><li>Direct hire</li><li>Onsite Requirements: 4 days in office, 1 day WFH.</li><li>Location: Houston, TX 77024.</li></ul> This role offers relocation assistance! Ready to influence data strategy at a top player in the market? Apply today!

<h3>Job Description</h3><div>Job Description<div>This is a remote position and we are hiring candidates from the whole country. <div> </div>AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions. <div> </div>If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :) <div> </div>What you will do <ul><li>Design data management strategies and processes for the organization; </li><li>Design and build systems and solutions leveraging various AWS cloud components & tools; </li><li>Design, build, and orchestrate data pipelines from multiple sources into the enterprise data warehouse, supporting data modeling for use in the enterprise semantic layer; </li><li>Design and build new functionalities and solutions for client use cases; </li><li>Design and build data platforms; </li><li>Act as the Subject Matter Expert for Testers, Developers, and Business Users in the area of Data solution functionality; </li><li>Build and maintain relationships with key stakeholders to understand their Data needs and business goals, transforming them into actionable data actions; </li><li>Define and estimate the scope of work needed for the implementation of business architecture; </li><li>Lead project and program development team; </li><li>Perform analysis of functional and business requirements, develop user stories and design solutions; </li><li>Support the growth of the Data competency; </li><li>Identify and optimize performance bottlenecks. </li></ul> Must haves <ul><li>A minimum of 7 years of design & implementation experience with distributed applications and systems; </li><li>3+ years of hands-on experience with architecting solutions on Cloud Platforms; </li><li>Ability to design and document data architecture, governance and management processes; </li><li>Ability to analyze and document data structures and transformations; </li><li>Strong experience with DBT, Redshift, MWAA (Airflow), Lambda functions; </li><li>Proficient in Python and SQL; </li><li>Strong skills and proven experience working with Data Warehouses; </li><li>Willingness to develop in Data & Analytics space; </li><li>Strong English language skills for both verbal and written communication; </li><li>Excellent communication skills to interact with a range of stakeholders; </li><li>Ability to plan, track, and report the status of the deliverables; </li><li>At least a Bachelor’s degree, preferably in engineering, computer science or a related field; </li><li>Experience in data collection, modeling, validation and normalization; </li><li>Experience in working in Agile methodology; </li><li>Experience working in an environment leveraging remote communication and collaboration tools (e.g. Github, Slack, JIRA). </li></ul><div> </div>Nice to haves <ul><li>Infrastructure experience as a DevOps Engineer is a high plus; </li><li>Experience working with Quicksight. </li></ul> <div>Applicants must be authorized to work for ANY employer in the US (i.e. Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD). We are unable to sponsor or take over sponsorship of an employment Visa at this time. </div>The benefits of joining us <ul><li>Professional growth </li></ul>Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps <ul><li>Competitive compensation </li></ul>We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities <ul><li>A selection of exciting projects </li></ul>Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands <ul><li>Flextime </li></ul>Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. <div> </div><div> </div> </div></div>

General Information/Assignment Scope: We are seeking a highly experienced Real-time Data Architect to join our team. The ideal candidate will have robust experience in designing and implementing data driven solutions for Oil and Gas clients, with a strong background in system integration, solution architecture, cloud computing, and business analytics. The candidate should have a demonstrated proficiency as well as rich experience in production operation & emissions processes across Upstream segment of the Oil industry. Additionally, the candidate should possess expertise in communicating and collaborating across organizational levels and with cross-functional teams to achieve a common goal.Key Responsibilities:* Design and implement data architectures that support scalable real-time production, field operations, emission, and alarm management in the Oil & Gas industry. * Work with IT and business teams to identify, evaluate, recommend, design, and develop integrated solutions that meet those needs.* Review and evaluate the exiting real-time systems landscape and identify architecture remediation opportunities for highly scalable platform.* Build an interim and target architectures for the platform, implementing industry best practices and latest technologies such as IICS, Kafka, IoT Hub, Ignition etc.* Consolidate requirements from various groups (working on emissions) and design a core, scalable and common data architecture/solution. This includes data model that can link to company master and transactional data.* Partner closely with product managers and business analysts to align product architecture with business needs.* Partner with Data Architecture, emerging technologies and data engineering teams to enable data integration patterns to democratize real-time data for analytics developments (Machine learning, Visualization, Data analysis).* Work closely with Enterprise Data Architects to enforce the global standard and best practice.* Perform key design decisions review to ensure relevant technical strategies, policies, standards, and practices are applied correctly across products and services.* Develop and maintain data models for real-time production operations and emissions data sets.* Ensure data integrity and consistency across all data sets.* Monitor and optimize data architectures for performance and scalability.Technical Skills:* Strong experience working with SCADA, IoT devices, Data Historians, Big Data environments - Hadoop (Apache, Cloudera) , Cloud (Azure, Amazon, GCP) and messaging protocols - MQTT, MODBUS, AMQP, RPC* Strong experience in managing data and workflows for Real-time & high frequency systems * Strong proficiency in Cloud computing, Microsoft Azure - Databricks, Azure IoT, Kafka and Scada systems.* Experience developing solutions in Snowflake and related technologies like IICS, Snowpipe, DBT, or ADF* Strong proficiency in Python, R, SQL, C++, PowerShell.* Experience in Business Intelligence, Power BI, Spotfire,* Experience with data modeling and database design* Familiarity with data warehousing and business intelligence concepts * Strong problem-solving skills and ability to work in an agile fast-paced environment.* Strong communication and collaboration skills Required Skills : Azure, Basic Qualification : scada, iot , python Additional Skills : scada, iot , python Background Check :Yes Drug Screen :Yes Notes : Selling points for candidate : Project Verification Info : Candidate must be your W2 Employee :No Exclusive to Apex :No Face to face interview required :No Candidate must be local :No Candidate must be authorized to work without sponsorship ::No Interview times set : :No Type of project :Other Project Type Master Job Title :Misc: Non-Technical Branch Code :Tulsa

Role - Data Architect with ETRM Location: Houston, TX Type: Contract Job Description: Data Architect with ETRM (Energy, Trading and Risk Management) Look from oil and gas company background will be a good fit. Role Description : Data Architect - 10 to 15 years of experience The key responsibilities will be •Develop data architecture and lead the delivery of end-to-end data, integration, reporting solution for Utilities Systems cloud and hybrid hosting •nalyze business requirements, conduct data & integration impact analysis. •Develop enterprise data landscape, conceptual data model and logical data model •Understanding of data requirements for ETRM systems and associated data structures (Risk, Pricing, Contracts etc) •Develop physical data modelling and database designs. •Design databases to meet and exceed different non fictional requirements - High availability, zero data loss, cyber security, high resilience, high performance, structured and un-structured data, time series data with resolution of as low as 10 ms, huge volumetric. •Design data migration, data quality solution. •Support Business Analysts and Solutions architects to design the systems. •Conduct Database activities such as database creation, management, testing, programming on database, data engineering, reverse data engineering, reporting, analytics, data migration etc based on project requirement •Lead data engineers/development to implement the solutions as per design Mandatory data skills <ul> <li> Data and Integration Architecture</li> <li> Expertise in one or many of below</li> <li> Oracle/MySQL database design and development</li> <li> Mongodb /Casandra design and development</li> <li> Azure Data Architecture</li> <li> Excellent stakeholder communication skills</li> <li> Ability to lead and guide data team in the project/program and get the work done.</li> <li> Data Landscape ( As-Is and To-Be ) and Data Flows</li> <li> Conceptual Data Model and Canonical Modelling </li> <li> Logical Data Model and Physical Data Model</li> <li> Data Definition and Integration specification</li> <li> DDL , DML , DCL , TCL concepts and scripting</li> <li> Data engineering and reverse data engineering</li> <li> Master Data and Data Management</li> <li> Data Entity to Application mapping - Master , Create , Update , Read & Delete</li> <li> Requirements analysis , data impact analysis , integration impact analysis</li> <li> Data Entity and Attribute Definition Data constraints, validation rules , consistency and defaulting rules Tools Sparx EA , SQL developer , Toad etc.</li> <li> Database programming - PL/SQL and similar ones</li> <li> Application of Data science for energy/electricity forecasting</li> <li> Experience in architecting Python, R , mongo db, oracle db based forecasting solution hosted in cloud.</li> <li> Experience/knowledge on Talend , ADF and SOA based data integration</li> <li> Experience in implementation of reporting and visualization solution using Power BI</li> </ul> Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Title: Senior Denodo Data ArchitectLocation: Houston TX - OnsiteDuration: Full time The Sr. Data Architect oversees the execution of GST’s data delivery strategy utilizing Denodo. They are involved in all phases of the analytic projects, from requirements gathering, data architecture, integration guidance and developing support artifacts. This Sr. Architect demonstrates senior-level leadership skills and experience in guiding the team to build a self-sustainable BI platform. They will create best practices, define and govern data architecture standards, lead and support development efforts, manage BI demand, coordinate resource capacity, prioritize and lead the scoping effort. The ideal candidate has the ability to mentor others in maintainable development practices and code reviews and ensures correct capitalization / expense activities of the project team and can provide business insight across multiple domains. This Sr. Architect will demonstrate an ability to manage complex, high-quantity and potentially contradictory information to effectively solve problems, applies knowledge of the business to advance organizational goals, and intuitively navigates complex policy, people and process-related organizational dynamics.Essential FunctionsEngagement<ul><li>Collect feedback and influence users and stakeholders to prioritize and develop data-centric work products and support requests.</li><li>Work with internal (IT technical and functional) and external (vendor) partners to source, review, and deliver data-related solutions for projects.</li><li>Create and track KPIs for enterprise data virtualization service capability to share with management and user community.</li><li>Ability to drive the architecture, design along with experience in leading the team technically</li></ul>Architecture<ul><li>Refine the current Denodo deployment with sound data architecture that delivers data for Analytics, BI and Applications via services</li><li>Ensure data security is maintained throughout the user, application, platform, and data layers.</li><li>Design integration with front-end tools (Tableau, custom apps) and back-end applications and data (e.g. SAP).</li></ul>Process<ul><li>Establishes process for Architecture review, code review and development process for the Denodo engineers.</li><li>Continuously refines the processes by measuring process related KPIs.</li></ul>Development<ul><li>Maintain and extend agile data development methodology in support of both self-service and full-service models.</li><li>Create reusable semantic and report-specific data layers that are secure and performant.</li><li>Develop techniques for optimizing solutions, including caching, refactoring, performance, and testing.</li><li>Define data catalogues.</li></ul>Admin/Support:<ul><li>Troubleshoot issues that may occur within the data platform or in consuming apps/tools and data sources.</li><li>Ensure SLAs are developed and met for response and resolution times for business-critical data platform.</li><li>Establish and implement operations (e.g. monitoring and logging) to keep platform (multiple Windows servers) stable and up-to-date (i.e. quarterly updates and periodic upgrades).</li></ul>Works under minimal supervision:<ul><li>Other duties as assigned.</li><li>Responsibly receive, transmit, and handle consumer and customer data per applicable policies and procedures.</li><li>Review and follow data privacy practices, policies, and guidelines.</li></ul>Supervisory Responsibilities:Directly supervises one or more employees. Carries out responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees, planning, assigning, and directing work, appraising performance, rewarding and disciplining employees, addressing complaints and resolving problems. Qualifications:Education and Experience Requirements:A bachelor’s degree in Computer Science, Information Systems, or a related field is preferred. Equivalent work experience may be considered in lieu of a degree.<ul><li>8+ years of hands-on experience in data modeling and SQL, with a strong emphasis on designing and implementing data architectures.</li><li>3+ years of experience working with Denodo or similar data virtualization platforms is highly desirable.</li><li>Experience with AWS and Databricks or similar data engineering platforms is a plus, particularly in the context of large-scale data processing and analytics.</li><li>Experience with other data integration technologies or platforms is a plus, particularly in complex, enterprise-level environments.</li></ul>Technical Experience:<ul><li>Strong understanding of Data Virtualization principles with 3+ years of hands-on experience in Denodo administration and development, including installation, configuration, security, and cache management in a highly available enterprise environment.</li><li>Expertise in Denodo-specific features, including Data Catalog for metadata management, Data Movement for efficient data replication and distribution, and Resource Manager for optimizing resource allocation and ensuring high performance.</li><li>Comprehensive experience in data modeling, including business, logical, conceptual, and physical models, with 3+ years of hands-on practice in designing and implementing these models across various data environments.</li><li>6+ years of SQL experience with demonstrated ability to optimize queries and manage large-scale data processing.</li><li>Familiarity with LDAP, SSL, and other security protocols to ensure secure data access.</li><li>Experience with JDBC, XML, and Web Services APIs, with a focus on integrating diverse data sources.</li><li>Basic understanding of SAP apps, including CDS views, BW queries, and HANA databases, with the ability to integrate these into broader data architectures.</li><li>Working knowledge of cloud-based data solutions, particularly in hybrid environments integrating on-premise systems (e.g., HANA, SQL Server). Experience with AWS cloud services (e.g., S3, RDS, Redshift, Lambda) is a plus.</li><li>Exposure to Databricks or similar data engineering platforms is a plus, especially in the context of data processing and analytics.</li><li>Experience in query optimization, including analysis of SQL execution plans, particularly in heterogeneous environments.</li><li>Familiarity with version control systems like GIT is a plus.</li></ul>Soft Skills:<ul><li>Problem-Solving and Complexity Management: Effectively manages complexity and ambiguity to find innovative solutions and solve problems.</li><li>Results-Oriented: Drives results by consistently achieving task completion and project closure, even in the face of challenges.</li><li>Adaptability: Thrives in a fast-paced environment, demonstrating flexibility and the ability to adjust to varying timelines and priorities.</li><li>Attention to Detail and Prioritization: Exhibits strong attention to detail while maintaining the ability to prioritize tasks effectively in alignment with business goals.</li><li>Interpersonal and Team Skills: Promotes healthy relationships and positive team dynamics through strong interpersonal skills.</li><li>Strategic Planning and Alignment: Demonstrates the ability to plan and align work with organizational priorities, emphasizing a sense of urgency where needed.</li><li>Business Insight and Influence: Leverages business knowledge to provide valuable insights and influence stakeholders effectively.</li><li>Leadership and Mentorship: Capable of mentoring team members and guiding them through complex technical challenges.</li></ul>CERTIFICATES, LICENSES, REGISTRATIONS:<ul><li>Desirable: Denodo Platform Certification (Architect level) or equivalent experience with demonstrated proficiency in Denodo administration and development.</li><li>Desirable: Certification in data architecture, Databricks (e.g., Databricks Certified Data Engineer), or other relevant data virtualization platforms.</li></ul> Thanks & Regards MikeNAVA Software Solutions LLCEmail: Mike.p@navasoftware.com

Data Architect Jobs in Houston, TX

Data Architect
October 2, 2024

Senior Data Architect Id21050
September 26, 2024

Data Architect Iv
September 23, 2024

Data Architect With Etrm Houston Tx
September 22, 2024

Data Architect
September 20, 2024

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Data Architect Jobs in Houston, TX

Data ArchitectOctober 2, 2024

Senior Data Architect Id21050September 26, 2024

Data Architect IvSeptember 23, 2024

Data Architect With Etrm Houston TxSeptember 22, 2024

Data ArchitectSeptember 20, 2024