JOB OPENINGS

JOB DESCRIPTION

The Data Architect is accountable for data strategic planning, architecture, framework, requirements analysis, data modeling, meta data management, data integration design, development best practices, development standards and deployment process.

ROLE RESPONSIBILITIES: Work with DG Director and Managers on the following:

• Align data architecture and function with the practice’s strategic goals and objectives 
• Provide input into and/or create and maintain data technical and functional roadmap, current state to future state
• Provide expertise and thought leadership in data architecture, design, development, and operations
• Build and oversee data architecture frameworks to support MDM, reference, and application data solutions
• Build processes to support requirements, business acumen, and partnership with business stakeholders
• Provide guidance on healthcare projects to support building efficient processes and deliverables aligned with business strategy
• Evaluate and recommend emerging technologies, innovations, and service in data management
• Partner with data architects and engineers to define solution architectures, frameworks, development standards, and data quality best practices
• Design and specify strategies for high availability, disaster recovery, and backup
• Implement and maintain solutions for data modeling, ETL/API, data analytics, and metadata management
• Analyze and represent practice information needs in data models 
• Create, maintain, and present data architecture diagrams
• Extend functional data capabilities through design and schema specification
• Guide key analysis and process in support of data quality and system performance
• Mentor and assist analysts, developers, and consumers in their use and adoption of best practices and standards
• Implement practices, processes, and technologies to ensure accuracy, validity, consistency, usability and overall quality of the data
• Partner with data architects, engineers, and developers to maintain technologies, practices, and standards for configuration, change, and release management  
• Assist in team design, composition, structure, and budget planning
• Enable automation and improvements in data operations and support functions

QUALIFICATIONS

• STRONG DATABRICKS PROVEN EXPERIENCE IS A MUST!
• 3+ years of professional experience shipping high-quality, production-ready code.
• Strong computer science foundations, including data structures & algorithms, OS, computer networks, databases, algorithms, and object-oriented programming. 
• Experience with Databricks 3+ years
• Experience in setting up data pipelines using relational SQL and NoSQL databases
• Experience with cloud services for handling data infrastructure such as: Azure, Databricks, Azure Databricks.
• Proven success manipulating, processing, and extracting value from large datasets.
• Expertise with version control systems, such as Git.
• Strong analytic skills related to working with unstructured datasets.
• Excellent verbal and written communication skills in English.

DESIRED PROFESSIONAL SKILLS AND EXPERIENCE

• B.S. in Computer Science, MIS, Software Engineering preferred
• 10+ years of relevant experience in a data architecture, management, integration, governance, analytic roles
• TOGAF, IASA or other enterprise architecture framework certification preferred
• 5+ years of technical leadership experience in a data architect role
• Proficient and current usage of data modeling tools such as ER Studio
• Experience with data architecture, data lakehouse, and data modeling; within the healthcare sector preferred
• Experience with creating and maintaining normalized data models for MDM, reference, and application data
• Experience designing, building, installing, configuring and supporting MDM solutions; experience with large data warehouses is a plus
• Experience in healthcare preferred; HL7 and Mirth is a plus
• Strong understanding of database and data principles, theories, process, and practices
• Exceptional critical thinking, communication, analytical, conceptual, and problem-solving skills
• Demonstrated aptitude for learning and assimilating new concepts and technologies
• Able to present ideas, concepts, and strategies in a manner consumable by business stakeholders  
• Ability to effectively align work with stakeholder priorities and execute in a fast-paced environment
• Demonstrated team-oriented, collaborative behaviors and competencies
• Experience with dev/ops, cloud engineering, cloud based database platforms a plus
• Familiarity with SSIS, SSRS, Tableau, Control-M, GitHub, Power BI
• Experience in all data and data management roles is a plus
• Experience with at least one cloud platform, Azure strongly preferred - Synapse, Data Factory, Databricks, Data Stream, ADLS
• Knowledge of data privacy practices and laws a plus

JOB DESCRIPTION

We’re looking for a fully bilingual DATABRICKS expert who can join our team as a DATA ENGINEER. We’re currently only evaluating applicants from Latin America and the US. 

ROLE RESPONSIBILITIES

• Develop and maintain ETL (Extract, Transform, Load)
• Design, build, and optimize large-scale data pipelines on Databricks.
• Write efficient SQL queries to extract, manipulate, and analyze data from various databases.
• Design and develop optimal data processing techniques: automating manual processes, data delivery, data validation and data augmentation.
• Collaborate with stakeholders to understand data needs and translate them into scalable solutions.
• Design and develop API integrations in order to feed different data models.
• Architect and implement new features from scratch, partnering with AI/ML engineers to identify data sources, gaps and dependencies.
• Identify bugs and performance issues across the stack, including performance monitoring and testing tools to ensure data integrity and quality user experience.
• Build a highly scalable infrastructure using SQL and AZURE technologies.
• Keep data secure and compliant with international data handling rules.
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QUALIFICATIONS

• STRONG DATABRICKS PROVEN EXPERIENCE IS A MUST!
• 3+ years of professional experience shipping high-quality, production-ready code.
• Strong computer science foundations, including data structures & algorithms, OS, computer networks, databases, algorithms, and object-oriented programming. 
• Experience with Databricks 3+ years
• Experience in setting up data pipelines using relational SQL and NoSQL databases
• Experience with cloud services for handling data infrastructure such as: Azure, Databricks, Azure Databricks.
• Proven success manipulating, processing, and extracting value from large datasets.
• Expertise with version control systems, such as Git.
• Strong analytic skills related to working with unstructured datasets.
• Excellent verbal and written communication skills in English.

Job Overview

We are seeking a Project Manager with a background in Civil Engineering to support a Real Estate Consulting Company. This fully remote role is ideal for a professional with experience in real estate development, who can assist team members in optimizing their services throughout the real estate process, ensuring that projects are completed on time and within scope.

Key Responsibilities

Support various teams involved in the real estate development process.

Assist in managing project timelines, budgets, and deliverables.

Coordinate with architects, engineers, contractors, and stakeholders.

Ensure compliance with regulatory and zoning requirements.

Identify and mitigate risks to keep projects on track.

Provide reports on project progress and performance.

Implement process improvements to enhance efficiency.

Qualifications & Requirements

Bachelor’s degree in Civil Engineering, Project Management, or a related field.

Experience in real estate development (preferably in construction, land development, or property management).

Strong project management skills, including scheduling, budgeting, and risk assessment.

Excellent communication and problem-solving abilities.

Proficiency in project management tools and software.

Ability to work independently in a remote setting while coordinating with U.S.-based teams.