Solution Lead (Data) Job at FSP (Glasgow)

Lead Data Solution Architect

Lead data architects at Thoughtworks play a key part in developing modern data a...

Location

Singapore , Singapore

Salary:

Not provided

Thoughtworks

Expiration Date

Until further notice

Requirements

Experience in defining and implementing different types of data architecture, analyzing trade-offs and can define technology stacks for different types of data architecture
Exposure to designing application system architecture based on big data, artificial intelligence and related technologies
Experience in building, maintaining and tuning data platforms, as well as experience in data warehouse design, data modeling, data monitoring and maintenance
Experience with common design patterns, application frameworks and foundational/theoretical knowledge (i.e.: distributed systems, data intensive applications, etc.)
Proficient in common open-source distributed computing/storage technologies, including but not limited to YARN, Impala, Spark, MapReduce, Kafka and Flink, with practical project architecture experience
Good understanding of business and communication, collaboration skills, strong learning and summarizing abilities
Exposure to defining, developing and enabling data-driven techniques, advanced analytics, ML/AI and data mining applications in enterprise. This includes technologies such as LLMs, VLMs, vector & graph databases and/or agentic architectures
Exposure to developing real-time and low-latency data streaming solutions
Exposure to productionizing machine learning models and applying techniques, tools and processes
Passionate about data infrastructure and operations, with expertise working in cloud environments

Job Responsibility

Navigate, with support, a data project's architectural concerns, enabling delivery teams to deliver on accepted standards within time and budget
Provide client-facing technical leadership and guidance on topics related to data architecture, engineering, and analytics to advise clients on bringing their data strategy to life
Interact with client counterparts from the enterprise architecture group to deliver, share, align and sign-off on key architectural decisions, trade-offs and ways of working
Communicate both high-level and low-level technical details of data architecture to engineers and business stakeholders
Understand and can collaborate at the intersection of analytical and operational architectures
Lead with support the technical design of data governance, data security and data privacy to fulfill compliance requirements
Lead, with support, the incorporating of data quality frameworks and processes to address and fulfill requirements as set out in strategy and acceptance criteria
Collaborate with sales and pre-sales to clarify requirements and design viable solutions

What we offer

Learning & Development
Interactive tools
Numerous development programs
Teammates who want to help you grow

Fulltime

Solution Marketing Lead | Unified Data Platform

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Redmond

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Marketing, Computer Science, Business or related field AND 3+ years' experience in business
Bachelor's Degree in Marketing, Computer Science, Business or related field AND 5+ years' experience in business
equivalent experience
3+ years' experience in Product Marketing with Enterprise B2B Cloud technology solutions
Master's Degree in Marketing, Computer Science, Business or related field AND 6+ years' experience in business
Bachelor's Degree in Marketing, Computer Science, Business or related field AND 8+ years' experience in business
6+ years of experience in product marketing roles
Product marketing experience supporting enterprise data and analytics solutions and a deep understanding of the industry and key trends

Job Responsibility

Develop and refine go-to-market strategies for the Solution Play in the Corporate segment, understanding customers digital-first needs, audience needs, perform market research, understand partner & seller journey needs, and determine investment mix/levers to optimize customer engagement
Drive solution play priorities and execution of those priorities in the Corporate segment in partnership with the Microsoft sales organization and marketing teams
Run weekly Rhythm of Business (ROB) across the corporate go-to-market levers collaborating with Microsoft sales and marketing teams to implement plans based on data and insights to accelerate what’s working to deliver the greatest solution play impact for the business
Embody our Culture & Values

Fulltime

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
Advanced proficiency in SQL and relational database concepts
Strong programming experience in Python (required)
PySpark preferred
Hands-on experience building and deploying machine learning models (supervised and unsupervised)
Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
Strong knowledge of statistical modeling, feature engineering, and model validation techniques
Experience with BI tools such as Tableau or Power BI
Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
Experience working with large-scale enterprise or financial datasets

Job Responsibility

Integrates subject matter and industry expertise within a defined area
Contributes to data analytics standards around which others will operate
Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
Resolves occasionally complex and highly variable issues
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
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
Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management

Fulltime

Data Engineer Lead (OT Data)

Data Engineer (OT Data) (Category - Engineer) Sector: Oil and Gas Location: Doha...

Location

Qatar , Doha

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor's in engineering, Information Systems, or a related quantitative field
5+ years of proven experience in a data engineering role
Experience within oil and gas industry is highly preferred
Demonstrable experience building and operationalizing large-scale data pipelines and applications

Job Responsibility

Architect & Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines
Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians (like OSIsoft PI, Aspen InfoPlus.21), DCS, PLC, and IoT sensors
Cloud Data Platform Development: Implement and manage data solutions on the Microsoft Azure cloud platform, Leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real-time ingestion and processing of operational technology (OT) data
Data Modelling & Warehousing: Design and implement data models optimized for time-series data from industrial assets, supporting operational dashboards and real-time analytics
Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real-time OT data
Champion Master Data Management (MDM): Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise
Ensure Data Quality & Governance: Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies
Embrace Industry Standards: Champion and implement industry-specific data standards and models, such as the OSDU™ Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle
Collaborate & Innovate: Work closely with a cross-functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions
Automate & Optimize: Identify opportunities for process automation and infrastructure optimization to improve data delivery, scalability, and cost-effectiveness

Fulltime

SAP CRM Solution Tech Lead (Salesforce Solution Architect)

The Salesforce Solution Architect is responsible for defining, governing, and va...

Location

United States , Allentown

Salary:

Not provided

Airswift Sweden

Expiration Date

Until further notice

Requirements

7+ years architecting solutions on Salesforce (Sales Cloud required
Service, Experience, CLM a plus)
Strong knowledge of Salesforce data model, metadata architecture, integration options, API limits, and platform constraints
Experience with multi cloud architectures and large-scale enterprise environments
Familiarity with integration platforms, middleware patterns, and enterprise data flows
Ability to interpret global business processes and translate them into future state designs
Experience working with a System Integrator and managing design alignment from the client side
Strong understanding of governance, DevOps, environments, and release management
Exceptional communication and executive level presentation abilities
Strong influencing skills across technical and non technical teams

Job Responsibility

Design and validate a scalable, efficient, and sustainable Salesforce architecture for multi-cloud implementations
Evaluate proposed solutions for maintainability, extensibility, and long-term viability
Align all architectural decisions with the Salesforce product roadmap, enterprise architecture principles, and internal standards
Define configuration standards, design patterns, and guardrails for functional and technical teams
Review and approve functional designs across workstreams (Sales, Service, CLM, Integration, Data, RFP, etc.)
Translate business strategies and requirements into holistic Salesforce solutions that balance user experience, performance, and compliance
Ensure alignment between technical teams, functional SMEs, and business owners to deliver solutions on schedule
Partner with the Integration Lead to design robust integration architecture with SAP, Agiloft, Workday, and other enterprise platforms
Validate data flows, API usage, middleware strategy, and integration patterns
Support data strategy activities, including data migration, mapping, and cleansing (in collaboration with Data Lead and SI)

Fulltime

Tech Lead - Data Solutions & Data Products

The Tech Lead – Data Solutions & Data Products is a senior technical leader resp...

Location

India , Hyderabad; Bangalore

Salary:

Not provided

Beretta Clima Italia

Expiration Date

Until further notice

Requirements

6 to 10 years of experience in data engineering, data architecture, or data platform roles
Proven experience architecting and delivering data solutions on AWS and GCP
Strong hands‑on experience building production‑grade data pipelines and data products
Deep understanding of: Data modeling and analytics patterns
Batch and streaming architectures
Cloud‑native design principles
Strong programming skills (e.g., Python, SQL) and experience with modern data frameworks
Ability to make sound architectural decisions under real‑world constraints

Job Responsibility

Data Solution Architecture (AWS & GCP)
Data Product Development Leadership
Technical Guidance & Team Leadership
Platform & Engineering Collaboration
Non‑Functional Excellence
Stakeholder Engagement & Technical Communication

What we offer

Retirement savings plan
Health insurance
Flexible schedules
Parental leave
Holiday purchase scheme
Professional development opportunities
Employee Assistance Programme

Fulltime

Customer Master Data - Data Quality Lead – Sales Operations

We’re on a mission to build a world-class data ecosystem that powers smarter dec...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

ResMed

Expiration Date

Until further notice

Requirements

High attention to detail and data accuracy
Strong analytical and root cause investigation skills
Effective communicator and collaborator across business and technical teams
Process-oriented with a mindset for continuous improvement
Ability to influence without authority and drive data quality accountability
Experience in med tech, healthcare, or life sciences industries
Knowledge of data governance principles and regulatory requirements (e.g., GDPR, HIPAA)
Familiarity with customer onboarding processes and lead-to-cash workflows
Experience with BI tools like Power BI or Tableau

Job Responsibility

Develop and implement data quality rules and control mechanisms for customer master data across systems (e.g., Salesforce, SAP, MDM tools)
Collaborate with the Data Governance Lead to align data quality standards with governance policies
Create and manage a regular cadence of data profiling, audits, and quality reporting
Identify, track, and remediate data quality issues such as duplicate records, incorrect account hierarchies, and missing attributes
Maintain and manage a data quality issue log and support root cause analysis and prevention planning
Partner with GTS and Data Stewards to implement solutions and automate cleansing routines where possible
Build and maintain dashboards to monitor key data quality metrics such as completeness, conformity, uniqueness, and timeliness
Provide actionable insights and recommendations to business stakeholders based on trends and anomalies in data quality
Communicate data quality health and improvement progress across Sales Ops and cross-functional teams
Ensure that data quality supports key business processes such as segmentation, lead management, order fulfillment, and account-based reporting

Fulltime

Data Scientist, Technical Lead - Infrastructure Data Center

The Infrastructure Data Center (IDC) organization at Meta is looking for an exce...

Location

United States , Bellevue

Salary:

253000.00 - 314000.00 USD / Year

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Solution Lead (Data)

Job Description

Job Responsibility

Requirements

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