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Role : Embedded Engineer
Location : Must work onsite 4 days per week in Boise ID or Dallas TX 4 days onsite, 1 day remote - No Fri or Mon Remote allowed
Travel Requirements:
Up To 10% overnight travel
As the R&D Senior Software Engineer, you are an expert in Linux development using both C++ and Python. You have experience designing production ready software and understand the patterns and architectures used to create reliable and maintainable codebases. You have experience with common robotics software tools and concepts such as ROS, motor control, localization, navigation, and sensor hardware technology such as LiDAR, Cameras, Motors, Encoders, etc. Most importantly, you have experience leading teams, driving processes, inspiring software engineers, and creating strong team cultures with open communication.
Qualifications
· Bachelors Degree in Computer Science, Computer Engineering, or similar field
· Minimum 8+ years of relevant experience
· Experience designing and implementing production software systems.
· Experience with Agile development environment and a strong drive for SOPs.
· Expert in Linux environment and developing for Linux systems.
· Expertise in C/C++ and Python, Experience with other software technologies (Web
· Development, SQL, etc.).
· Experience with CI/CD and testing methodologies and implementation.
· Experience with Containerization and Deployment Strategies.
· Experience with version control systems, GIT preferred.
· Experience with ROS (Robot Operating System).
Thanks and Regards
Ashish Tripathi || US IT RecruiterKPG99,INC
|
Optomi, in partnership with a leading organization, is seeking an experienced Sr. Platform Engineer who will be responsible for deploying NiceCX and integrating GenAI into the current systems. This role requires a developer who can take over existing work without the need for extensive training.
*Must have a strong background in Financial Systems, Python and/or Java, and Typescript
Responsibilities:
- Design, develop, and maintain REST and GraphQL APIs for scalable applications, including integration with NiceCX and other contact center platforms.
- Build and maintain integrations with telephony systems (SIP, VoIP, PBX), IVR platforms, chatbots, and omnichannel routing solutions.
- Deploy and manage applications using AWS services (EC2, Lambda, API Gateway, S3), ensuring high availability and reliability.
- Implement and manage CI/CD pipelines using GitHub, Jenkins, and Kubernetes to enable seamless deployments.
- Work closely with architects, product managers, QA, and senior engineers to deliver high-quality solutions for contact center operations.
- Monitor and improve system performance and scalability, particularly for real-time contact center workloads.
- Utilize logging, monitoring, and alerting tools (e.g., AWS CloudWatch, ELK stack) to maintain operational excellence in a contact center environment.
- Develop automation workflows and reporting dashboards for improved operational efficiency and agent productivity.
Apply today if your background includes:
- 6–8 years of professional software development experience.
- Strong proficiency in Java, Python, JavaScript, and TypeScript.
- Hands-on experience with REST API design, development, and consumption.
- Familiarity with cloud technologies, specifically AWS (EC2, Lambda, S3, API Gateway).
- Practical experience with DevOps practices and CI/CD tools including GitHub, Jenkins, and Kubernetes.
- Solid understanding of software development principles and best practices, including version control, unit testing, and debugging.
- Exposure to contact center technologies, telephony integration, or customer engagement platforms.
Position Title: Applied AI Systems Engineer
Location: Orange County, California (Hybrid)
Reports To: Head of Operations
Position Summary
This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.
The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.
This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.
Core Objectives
- Build an internal AI platform that automates high-volume operational workflows
- Reduce manual processing time and administrative overhead
- Improve accuracy, speed, and decision visibility across departments
- Establish scalable systems that support portfolio growth without proportional staffing increases
Primary Responsibilities
- AI Platform Architecture & Development
- Design and deploy AI agents to automate operational and administrative workflows
- Build LLM-powered systems for document review, data extraction, and decision support
- Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
- Implement evaluation, monitoring, and continuous improvement frameworks
Lease & Document Intelligence Automation
- Build tools to extract key lease terms, obligations, and risk clauses
- Automates lease abstraction and document comparison workflows
- Develop compliance and deadline tracking systems
- Enable searchable knowledge retrieval across lease and legal documents
Leasing & Asset Management Automation
- Automate LOI comparison and deal workflow summaries
- Build dashboards summarizing tenant performance, lease milestones, and risk exposure
- Support market intelligence and tenant prospecting research
- Develop underwriting support and reporting tools
Property Management & Financial Workflow Automation
- Automate CAM reconciliation data processing and variance detection
- Streamline tenant reporting and communication workflows
- Track vendor contracts, compliance deadlines, and service obligations
- Extract and structure financial data from operational documents
Data Infrastructure & Knowledge Systems
- Structure internal documents and data for AI retrieval and automation
- Build document ingestion, indexing, and retrieval pipelines
- Implement vector search and knowledge retrieval systems
- Maintain data integrity, access control, and auditability
Systems Integration & Deployment
- Integrate AI tools with property management, accounting, CRM, and document platforms
- Deploy systems within secure cloud environments
- Implement logging, monitoring, performance, and cost controls
- Ensure reliability and scalability of deployed systems
Collaboration & Implementation
- Translate operational workflows into technical automation solutions
- Work directly with leadership to prioritize automation opportunities
- Train teams and implement adoption workflows
- Establish standards for responsible and secure AI usage
Required Qualifications
- Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
- Demonstrated success in a rigorous academic or research environment
- 3–7+ years building production software, automation systems, or applied AI solutions
- Strong Python development and API integration experience
- Experience working with structured and unstructured data
- Experience deploying systems in cloud environments
- Strong understanding of system architecture and data pipelines
- Exceptional analytical and problem-solving ability
Preferred Qualifications
- Experience building document intelligence or contract analysis systems
- Experience with retrieval systems and vector databases
- Experience automating financial or operational workflows
- Experience integrating AI into business operations environments
- Experience in real estate, finance, logistics, or operations-heavy industries
- Evidence of research, technical publications, competitive programming, or open-source contributions
Technical Environment (Representative)
- Python and API-based architectures
- LLM platforms and agent orchestration frameworks
- Cloud infrastructure (AWS, Azure, or GCP)
- SQL and vector databases
- Workflow orchestration and automation tools
- Version control, logging, and monitoring systems
Success Metrics
- Performance in this role will be evaluated by:
- Reduction in manual administrative workload
- Automation coverage across operational workflows
- Accuracy and reliability of AI-driven outputs
- Adoption and usage across departments
- Operational efficiency gains and cost reductions
Work Environment
- Hybrid work model with in-person collaboration in Orange County
- Direct collaboration with executive leadership and operational teams
- High autonomy in system architecture and implementation decisions
Pecan POS is seeking a skilled and detail-oriented QA Automation Engineer to join our growing engineering team. In this role, you will be responsible for designing, developing, and maintaining automated testing frameworks to ensure the reliability, performance, and scalability of our point-of-sale (POS) platform used by hospitality businesses.
You will collaborate closely with software engineers, product managers, and QA specialists to improve software quality, reduce regression risk, and support continuous integration and delivery. This is an excellent opportunity to contribute to a fast-paced environment where quality and innovation are critical to delivering reliable transaction systems.
ResponsibilitiesDesign, develop, and maintain automated test frameworks for web and API testing
Create and execute automated regression, integration, and end-to-end tests
Collaborate with developers and product teams to define test strategies and acceptance criteria
Identify, document, and track defects through resolution
Integrate automated tests into CI/CD pipelines to support continuous delivery
Perform API testing and validate system integrations
Conduct root cause analysis and contribute to quality improvements
Maintain test environments and test data for consistent automation execution
Participate in code reviews and support quality engineering best practices
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
3+ years of experience in software testing and automation
Strong experience with automation tools such as Selenium, Cypress, Playwright, or similar frameworks
Experience with API testing tools such as Postman or RestAssured
Familiarity with programming languages such as Java, Python, JavaScript, or C#
Experience with SQL and database validation
Understanding of Agile development and the software testing lifecycle
Experience with version control systems such as Git
Strong problem-solving and analytical skills
Experience testing POS systems, fintech platforms, or payment processing systems
Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI
Familiarity with cloud environments (AWS, Azure, or GCP)
Experience with performance testing tools such as JMeter or k6
Fully remote work environment
Competitive salary
Opportunity to work on mission-critical transaction systems
Collaborative engineering-focused culture
Professional development and growth opportunities
Remote working/work at home options are available for this role.
Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.
The result is painful: "almost hired” over and over again, while the confidence drops.
The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply.
They teach how to code—but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer.
Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers.
The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring.
Interviews rarely test "can you write code at home.” They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers.
The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for.
If your pattern is "I reach interviews but don't clear them,” you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity.
You don't need to be perfect—you need to show you can think, collaborate, and deliver.
That's why guided mock interviews and structured interview coaching can be a game-changer.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo” Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads” (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical.
Event videos (OCW, JavaOne, Gartner): USA Today feature If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Contact SynergisticIT: Because getting hired isn't about trying harder—it's about preparing smarter, practicing correctly, and having the right guidance.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Defense, Aerospace, Human Factors, and Security markets.
DCS’s software engineers use the latest tools and techniques to deliver advanced technologies leveraging natural language processing, artificial intelligence, and distributed solutions, to name a few.
We push the envelope in these technologies, creating software that achieves superb robustness, scalability, and usability while exceeding customer expectations.
We’re solving hard problems at DCS through development of advanced technology.
This is an opportunity to join a growing, cutting-edge team in creating next-generation autonomy technologies.
DCS is looking for software engineers to create next-generation autonomy technology.
This spans a significant range, including UI development, architecture design and implementation, and algorithm design and development.
DCS’s role in autonomy development is broad and includes opportunities to work in one or more areas that apply to autonomous systems.
As a software engineer in this role, you will join a Scrum team and help scope, implement, and integrate new software.
You will also employ best practices in the industry to ensure maximum code reusability, extensibility, and modularity.
You will work in Dayton, OH, and work with teammates in Dayton and Columbus that have backgrounds in multiple disciplines, including: artificial intelligence, human factors, software development, simulation integration, and military Subject Matter Experts (SMEs).
Essential Job Functions: Implementing algorithms, to include multi-vehicle planning, allocation, and mission construction.
Designing and building system architecture, to include scoping applications and their data exchange.
Leveraging natural language processing to support user input to the system, or to construct variable-scale multi-vehicle operations.
Building user interfaces in C# using WPF, Blazor, and Uno Platform technologies, and in C++ using Qt.
Integrating AI models into systems that rely on their services using LLMs, Python and other relevant technologies.
You’ll work in a collaborative environment with other software engineers of varied backgrounds, human factors experts, and experts in natural language processing and machine learning.
Required Skills: Due to the sensitivity of customer related requirements, U.S.
Citizenship is required.
Eligible to obtain a U.S.
security clearance.
Must have 2 years of experience with a bachelor’s degree in computer science, Computer Engineering, or related technical discipline (candidates with varying degree and experience combinations may be considered for alternative classifications).
May require occasional travel to customer sites across the U.S.
Desired Skills: Knowledge and use of C# and C++.
Knowledge of SOLID principles.
Understanding of Inversion of Control concepts.
Knowledge of common design patterns used in software development.
Familiarity with version control systems and Agile/Scrum software development methodologies.
Compensation: $150-175K Responsibilities: Design, implement, and maintain NoSQL database solutions including Cassandra and Postgres.
MongoDB is a plus Cassandra Cluster Administration Install, configure, and upgrade Cassandra clusters Manage nodes (add/remove nodes, decommissioning, replacements) Perform rolling restarts and version upgrades with minimal downtime PostgreSQL Database Administrator Installation, configuration, Performance Monitoring and tunning, High availability, Monitoring Monitor database performance and proactively address issues related to availability, latency, and data integrity Implement and maintain infrastructure as code (IaC) practices using tools like Ansible and Git Standardize and automate configuration of database environments across development, QA, and production Ensure consistency and compliance of system configurations through automated validation and reporting Collaborate with security and compliance teams to enforce configuration baselines and audit readiness Maintain documentation of configuration standards and change management procedures Develop automation scripts using Bash and Python to streamline database operations Manage infrastructure on Linux environment Work with cloud platform Azure to support hybrid and multi-cloud database deployments Utilize Ansible for configuration management and infrastructure automation Qualifications: 7+ years of experience in database engineering or a related field Experience in designing scalable and secure database architecture Professional experience with NoSQL technologies including Cassandra and Postgres Scripting, cloud platforms, and DevOps tools
Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.
The result is painful: "almost hired” over and over again, while the confidence drops.
The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply.
They teach how to code—but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer.
Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers.
The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring.
Interviews rarely test "can you write code at home.” They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers.
The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for.
If your pattern is "I reach interviews but don't clear them,” you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity.
You don't need to be perfect—you need to show you can think, collaborate, and deliver.
That's why guided mock interviews and structured interview coaching can be a game-changer.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo” Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads” (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical.
Event videos (OCW, JavaOne, Gartner): USA Today feature If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Contact SynergisticIT: Because getting hired isn't about trying harder—it's about preparing smarter, practicing correctly, and having the right guidance.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now.
In today's market, employers expect more than a degree or a few tutorial projects.
They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use.
That's exactly what SynergisticIT solves—because the real challenge isn't learning in isolation.
The real challenge is translating learning into interviews and offers.
Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more—often in the $95k to $154k offer range depending on role, location, and skillset.
The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove.
Here's the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did.
That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
What roles are in demand right now? A lot of jobseekers assume they must become "AI experts” overnight.
Not true.
Many companies are actively hiring professionals in core roles that run modern software teams.
In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer.
In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request.
Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.
SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).
If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): You don't need more random applications.
You need a job-ready plan.
Start smarter—start with the right support.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Data Architecture – Senior Manager – Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
Skills and attributes for success
To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:
- Technical Skills Applications Integration
- Cloud Computing and Cloud Computing Architecture
- Data Architecture Design and Modelling
- Data Integration and Data Quality
- AI/Agentic AI driven data operations
- Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
- Strong relationship management and business development skills.
- Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
- Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
- Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
- Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
- Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
- Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Establish data governance policies and practices, including data security, quality, and lifecycle management.
- Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
- A Bachelor’s degree required in STEM
- 12+ years professional consulting experience in industry or in technology consulting.
- 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
- 5+ years’ experience with native cloud products and services such as Azure or GCP.
- 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
- In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
- Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
- Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
- Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
- Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
- Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
- Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
- Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
- Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
- Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
- Experience leading Infrastructure and Security engineers and architects in overall platform build.
- Excellent leadership, communication, and project management skills.
- Data Security and Database Management
- Enterprise Data Management and Metadata Management
- Ontology Design and Systems Design
Ideally, you’ll also have
- Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
- Experience working at big 4 or a major utility.
- Experience with cloud data platforms like Databricks.
- Experience in leading and influencing teams, with a focus on mentorship and professional development.
- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
- The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
- Building and Managing Relationships
- Client Trust and Value and Commercial Astuteness
- Communicating With Impact and Digital Fluency
What we look for
We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
FY26NATAID
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .
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