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• Assist in preparation of landscape masterplans and detailed drawings
• Develop layout plans, sections, and technical landscape drawings
• Work on podium landscapes, villa developments, and amenity spaces
• Coordinate with architects, consultants, and execution teams
• Prepare presentation drawings, concept visuals, and documentation
• Support site coordination and design implementation when required
• Contribute to design discussions and studio workflows

Data Engineer — AI / BI

Artificial Intelligence & Business Intelligence | Data & Analytics

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

Position Overview

We are seeking a Databricks Engineer to design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.

You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making, predictive modeling, and innovation

Responsibilities:

Data & AI Platform Engineering (Databricks-Centric):

• Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.
• Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers.
• Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation.
• Apply schema evolution and data versioning to support agile data development.

Platform Integration & Data Ingestion:

• Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks.
• Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data.
• Design standardized data ingestion processes with automated error handling, retries, and alerting.

 Data Quality, Monitoring, and Governance:

• Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers.
• Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures.
• Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement.

Security, Privacy, and Compliance:

• Enforce data security best practices including row-level security, encryption at rest/in transit, and fine-grained access control via Unity Catalog.
• Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA).
• Work with security teams to audit and certify compliance controls.

   AI/ML-Ready Data Foundation:

• Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference.
• Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.
• Collaborate with AI/ML teams to create reusable feature stores and training pipelines.

Cloud Data Architecture and Storage:

• Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer.
• Build data marts and warehousing solutions using platforms like Databricks.
• Optimize data storage and access patterns for performance and cost-efficiency.

 Documentation & Enablement:

• Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components.
• Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion Architecture, and data governance practices.
• Conduct code reviews and promote reusable patterns and frameworks across teams.

  Reporting and Accountability:

• Submit a weekly schedule of hours worked and progress reports outlining completed tasks, upcoming plans, and blockers.
• Track deliverables against roadmap milestones and communicate risks or dependencies.

Required Qualifications:

• Hands-on experience with Databricks, Delta Lake, and Apache Spark for large-scale data engineering.
• Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments.
• Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments.
• Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic.
• Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.
• Familiarity with data governance, lineage tracking, and metadata management tools.

Preferred Qualifications:

• Prior UMGC or USM experience preferred.
• Experience with Databricks Unity Catalog for metadata management and access control.
• Experience deploying ML models at scale using MLFlow or similar MLOps tools.
• Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects.
• Knowledge of data warehouse design and star/snowflake schema modeling.

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

• Bachelor's degree in Interior Design or a related field.

• 1 to 4 years of proven experience in interior design, with a focus on commercial or residential projects.

• Proficient in AutoCAD, Adobe Creative Suite, and other relevant design software.

• Strong knowledge of materials, finishes, and furniture procurement.

• Excellent communication and interpersonal skills.

• Ability to lead and collaborate within a team environment.

• Project management skills, including the ability to manage timelines and budgets effectively.

• If you meet the above qualifications and are passionate about creating innovative and functional interior spaces, we invite you to apply for the Senior Interior Designer position. Please submit your resume, portfolio, and a cover letter detailing your relevant experience and design philosophy.

• Strong B2B Product Manager Profiles
• Mandatory (Experience 1) - Must have 4+ years of experience with 2+ years as a Product Manager
• Mandatory (Experience 2) - Must have experience working in early-stage products (with early stage startups or in big startups/companies driving 0-to-1 product development and building MVPs)
• Mandatory (Experience 3) - Must have hands-on experience in writing PRDs, BRDs, user stories, and maintaining product documentation for cross-functional teams.
• Mandatory (Company) - Product companies only (B2B preferred)

Preferred

• Preferred (Experience) – Prior experience as a developer or tech role is a plus

Job Description for QA Engineer:

• 6-10 years of experience in ETL Testing, Snowflake, DWH Concepts.
• Strong SQL knowledge & debugging skills are a must.
• Experience on Azure and Snowflake Testing is plus
• Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus
• Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool
• Experience in JIRA, Xray defect management toolis good to have.
• Exposure to the financial domain knowledge is considered a plus
• Testing the data-readiness (data quality) address code or data issues
• Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution
• Prior experience with State Street and Charles River Development (CRD) considered a plus
• Experience in tools such as PowerPoint, Excel, SQL
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus

Key Attributes include:

• Team player with professional and positive approach
• Creative, innovative and able to think outside of the box
• Strong attention to detail during root cause analysis and defect issue resolution
• Self-motivated & self-sufficient
• Effective communicator both written and verbal
• Brings a high level of energy with enthusiasm to generate excitement and motivate the team
• Able to work under pressure with tight deadlines and/or multiple projects
• Experience in negotiation and conflict resolution

Roles and Responsibilities:

• Acquire and activate travel agents through various channels like office visits, telephone, email, social networks, events & meetings.
• Establish, grow, and maintain commercial ties with travel agents—both current and potential—in the designated territory to attract new partners for our services.
• Create a sales funnel, identify the right leads, define long-term goals, and engage in strategic business planning.
• Align sales activities with tele-sales team, product, marketing, and customer success team.
• Build in-depth understand of our products and give demos or solve product queries to convert agents.
• Attend road shows, trade fairs and other travel industry events.
• Maintain and analyse data.
• Stay updated on industry insights and opportunities for strategic planning and growth.

Experience and Skills you MUST have:

• At least 4 years sales experience in the travel industry
• Excellent communication and interpersonal skills
• Ability to build relationships
• Prior experience in acquiring travel agents or in visas or insurance is a big plus
• Proficient with using CRMs and google sheets
• Ability to handle pressure

ESSENTIAL SKILLS/ATTRIBUTES:

• Excellent knowledge of Android
• Appreciation for the limitations of handset development
• Attention to detail and subtleties of UI design and implementation
• Understanding of design patterns
• Ability to design for scalability and resilience
• Strong application process flow and problem solving techniques.
• Strong focus on refactoring and code quality
• Understanding of software configuration management and release management
• High levels of software engineering literacy and communication skills
• Friendly and professional manner
• Minimum 3 - 5 years java development
• Third Level Qualifications in computing, mathematics or science

DESIRED SKILLS:

• Experience of working in an agile environment
• Product development and lifecycle experience
• Experience of unit testing
• Scripting (JavaScript, Ruby, Python, Shell, etc.)
• Knowledge of build systems such as Maven and Gradle