Senior Data Science Solution Architect Job at Hire IT People, Inc (Irving)

Senior Data Architect

The Senior Data Architect works with data engineers, business stakeholders, and ...

Location

United States , Overland Park; Frisco

Salary:

Not provided

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree (preferred but not required)
4-7 years Related work experience.
4-7 years Progressive experience in software engineering/enterprise architecture/technology leadership across multiple products, systems and/or platforms coupled with strong business acumen and executive presence.
4-7 years Experience working in data engineering, analytics, data science, or analytics engineering.
Software Engineering (Required)
Data Engineering (Required)
SQL
Enterprise Architecture (Required)
Solution Architecture (Required)
Technical Leadership (Required)

Job Responsibility

Design physical and conceptual data models
Uphold engineering excellence
Promote quality data analysis
Own solutions for comprehensive data models within domains
Translate requirements into well-governed data models
Prepare design deliverables such as architecture diagrams and API/micro-service architecture
Actively contribute to industry publications and professional forums
Maintain relationships with partner teams
Lead technical design and solution strategy
Ensure alignment of design to company standards

What we offer

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care

Fulltime

Senior Solution Architect

Our Solution Architects have the vision and leadership skills to make daring IT ...

Location

Luxembourg , Leudelange

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science or a relevant equivalent experience
10 years of experience
English required
French required
Experience in one of the following domains: transportation, logistics, supply chain, finance, or ICT
Requirements gathering and analysis
Business capability mapping
Business process design
Gap solution analysis
Change impact assessment

Job Responsibility

Creating blueprints for software, hardware, networks, and data systems
Conducting risk assessments and ensuring regulatory compliance
Strategic planning
Enhancing system performance, scalability, and security
Collaborating across teams and departments
Adopting new technologies

What we offer

Access to Sopra Steria training and personal development academy
Company car lease or mobility budget
Company laptop and phone
Private health insurance coverage
Meal vouchers
Social security and pension plan
Competitive salary
26 holiday days

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Sr. Delivery Solutions Architect

At Databricks we are on a mission to empower our customers to solve the world's ...

Location

South Korea , Seoul

Salary:

Not provided

databricks

Expiration Date

Until further notice

Requirements

8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role
Experience understanding architecture related distributed data systems, specifically within one of the following: Data Engineering technologies (e.g. Spark, Hadoop, Kafka)
Data Warehousing (e.g. SQL, OLTP/OLAP/DSS)
Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO)
Comfortable managing multiple projects at once, and engaging a virtual team of subject matter experts
Influencing and leading teams - especially without having direct reporting line responsibility
Executive Stakeholder management - experience in effectively engaging and influencing a variety of audiences at all levels of an organization with particular success in building and maintaing strong CxO level relationship
Executive escalation management - experience in resolving complex and critical escalation with senior customer and internal executives
Strategic Management Consulting - experience of conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
Building and steering to a value case - business value consulting and realization

Job Responsibility

Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers
Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts
Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account
Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts to execute on the right tasks that are beyond your scope of activities or expertise
Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals
Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs
Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA
Proactively provide internal and external updates - KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression - to your Technical GM
Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team

Senior Solution Architect AI & HPC

AI is a high-growth market for HPE, and we believe we are uniquely suited to bri...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Engineering, Computer Science, or similar quantitative focus preferred
Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.
Expertise in cloud architectures, specifically with public cloud platforms such as AWS, Azure, or Google Cloud
Strong understanding of AI technologies, including machine learning, deep learning, and neural networks
Experience participating in solution configurations and the creation of PoCs to meet customer requirements
Solid knowledge of infrastructure components, including servers, storage, networking, and virtualization
Experience with high-performance computing (HPC) and GPU-accelerated systems is advantageous
Demonstrates expert technical skills in assigned area of specialization
Expert knowledge of the company offerings, strategic initiatives, current trends, competitor products and strategies within area of responsibility
Expert level written and verbal communication skills and mastery over English and local language

Job Responsibility

Collaborate with sales teams to understand customer requirements and develop tailored solutions for their AI infrastructure needs
Engage in pre-sales activities, including technical presentations, demonstrations, and proof-of-concepts
Act as a trusted advisor to customers, addressing their questions, concerns, and technical challenges effectively
Stay up-to-date with the latest advancements in AI technologies, cloud architectures, and infrastructure trends
Lead Proof-of-Concepts (PoC) for HPE customers expanding into Deep Learning or Machine Learning use cases
Architect reusable end-to-end AI solutions for HPE customers and prospects
Lead technical discussions with customers and partners to propose HPE and partner Integrated solutions
Identify solutions, define action plans, and help coordinate and deliver optimal solutions and enhancements
Recommend configurations and settings for different types of hardware and interconnect fabrics
Assist in any product or technical issue towards an initial sale or renewal of a customer

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Data Architect

We are seeking an innovative and detail-oriented Data Architect to join our team...

Location

Netherlands , Nieuwegein

Salary:

3000.00 - 6000.00 EUR / Month

Sopra Steria

Expiration Date

Until further notice

Requirements

HBO or WO education in IT or a related field
approximately 2 years of experience as a Data Architect
TOGAF certification is preferred
extensive knowledge of data structures, data mapping, and data modelling techniques (e.g., datavault, dimensional, semantic)
proficiency in cloud technologies and experience with complex data integration problems
expertise in ETL/ELT processes, AI, Data Science, SQL and No-SQL databases, RDF (Linked Data), and Knowledge graphs
strong understanding of data privacy, security, and regulatory compliance (e.g., GDPR)
experience with data governance and data quality management practices
excellent analytical and problem-solving skills
strong communication abilities to effectively liaise between technical and non-technical stakeholders

Job Responsibility

Develop and maintain a comprehensive data architecture strategy aligned with organisational goals
design, implement, and oversee robust data models and structures to support business intelligence and analytics initiatives
collaborate with cross-functional teams to understand data requirements and translate them into effective architectural solutions
create and maintain data flow diagrams, entity-relationship diagrams, and other technical documentation
establish data governance policies and ensure adherence to data quality standards
implement data security measures and ensure compliance with relevant regulations (e.g., GDPR)
evaluate and recommend new technologies and tools to enhance data management capabilities
provide technical leadership and mentorship to data engineers and analysts
develop and present data architecture roadmaps to senior management and stakeholders
continuously monitor and optimise data architecture performance and scalability

What we offer

A permanent contract
a gross monthly salary between €3,000 and €6,000
8% holiday allowance
a generous mobility budget including options such as an electric lease car with an NS Business Card, a lease bike, or alternative transportation
8% profit sharing on target (or a fixed OTB amount depending on the role)
27 paid vacation days
a flex benefits budget of €1,800 per year plus an additional percentage of your salary
a home office setup with a laptop, phone, and monthly internet allowance
hybrid working
development opportunities through training, knowledge-sharing sessions, and inspiring (networking) events

Fulltime

Senior Data Scientist, Decisions

Rocket Money is looking for a Senior Data Scientist to drive marketing efficienc...

Location

United States , San Francisco, CA; Washington, D.C.; New York City, N.Y.; Silver Spring; Miami; Denver

Salary:

180000.00 - 220000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data science
Proficiency in SQL
Proficiency in at least one scripting language
Proficiency in statistical modeling
Proficiency in engineering scalable experimentation solutions
Expert level experiment design and assessment skills
Direct experience building production grade tooling for operational use by teams of internal decision makers
Experience driving marketing and product strategy with experimental and observational data
Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms
Proven ability to collaborate across teams and communicate technical insights effectively

Job Responsibility

Lead internal marketing effectiveness measurement and estimation approaches
Lead projects from start to finish
Design and conduct experiments to estimate the impact of marketing and product strategies
Lead a systematic marketing and product experimentation program
Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers
Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines
Build, test, and deliver internal facing predictive tools
Effectively design and assess experiments for a variety of user facing experiences
Mentor other members, participate in code reviews, and ensure quality in production systems
Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine

What we offer

Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Learning & Development Opportunities
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)

Fulltime

Data Science Group Manager

The Applications Development Technology Senior Lead Analyst is a senior level po...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least 10+ years of relevant experience in an Apps Development role or senior level experience within Data analytics/ML space
At least 3+ years of experience applying AI to practical uses, experience with deep learning, NLP and Tensorflow
Proficiency in Scala, Python, and other language or domain-specific packages as well as Big Data Eco system
Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citi’s internal and external cloud platforms (AWS, PCF, Akamai)
Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology – including innovative approaches and new opportunities
Strong communication skills, e.g. ability to translate business use cases to tech specs, working with diverse project teams, and developing relationships with vendors
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Job Responsibility

Lead the Data Science functions regionally to meet goals, deploy new products, and enhance processes
Serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward

Fulltime

Senior Data Science Solution Architect

Hire IT People, Inc

Location:
United States , Irving

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 09, 2025

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