CrawlJobs Logo

Senior Data Warehouse Lead

barclays.co.uk Logo

Barclays

Location Icon

Location:
United States , Whippany

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

170000.00 - 230000.00 USD / Year

Job Description:

Embark on a transformative journey as a Senior Data Warehouse Lead – VP. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. In this role, you will play a critical part in decommissioning legacy data platforms and driving the transition to a strategic, enterprise-scale data environment. You’ll take end-to-end ownership of data warehouse initiatives, partnering with business and technology stakeholders to deliver high-quality, production-ready solutions that support critical decision-making.

Job Responsibility:

  • Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
  • Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
  • Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
  • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies
  • manage and maintain policies/ processes
  • deliver continuous improvements and escalate breaches of policies/procedures
  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment
  • Manage and mitigate risks through assessment, in support of the control and governance agenda
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions
  • Adopt and include the outcomes of extensive research in problem solving processes
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes

Requirements:

  • Data architecture and strategy, including data warehouse design, dimensional modelling (Star/Snowflake), data lineage, data quality, and reporting
  • Mission-critical databases such as Oracle or SQL Server, supporting high availability, scalability, and fault tolerance
  • Advanced PL/SQL or T-SQL development, including performance tuning and query optimization
  • Building and supporting data pipelines, along with end-to-end development, testing, deployment, and production support
  • Reporting and BI tools such as Business Objects, Power BI, or Tableau

Nice to have:

  • Experience with cloud platforms and cloud data warehouses (AWS or Azure)
  • Familiarity with middleware and messaging technologies such as IBM MQ or Solace
  • Working knowledge of programming languages such as Python or Java
  • Understanding of DevOps practices, scripting on Linux, and CI/CD processes
  • Financial services domain knowledge, including Prime Services, Exchange-Traded Derivatives, or OTC products
What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Medical, dental and vision coverage
  • 401(k)
  • life insurance
  • other paid leave for qualifying circumstances
  • incentive award

Additional Information:

Job Posted:
January 29, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Data Warehouse Lead

Senior Data Warehouse Administrator

We are looking for a Senior Data Warehouse Administrator to bolster our expandin...
Location
Location
India , Pune
Salary
Salary:
Not provided
floqast.com Logo
FloQast
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5–8 years of experience as a Data WareHouse Administrator or Data Platform Engineer
  • Expert-level knowledge of Data WareHouse administration
  • Proven experience with CDC tools, FiveTran, CData or similar ELT tools (e.g., Stitch, Airbyte)
  • Strong understanding of SQL tuning, partitioning, and query optimization
  • Deep knowledge of data warehousing concepts and modern data platforms
  • Experience with CI/CD, infrastructure-as-code (e.g., Terraform), and monitoring tools
  • Familiarity with data modeling (star/snowflake schemas) and governance practices
  • Strong scripting skills in Python or Bash for automation
Job Responsibility
Job Responsibility
  • Design, implement, and maintain scalable and secure data warehouse environments
  • Optimize data warehouse performance, including fine-tuning complex SQL queries, managing indexing, and monitoring workloads to ensure peak efficiency
  • Lead all administration tasks, encompassing user access control, Role-Based Access Control (RBAC), schema design, partitioning strategies, and ongoing cost optimization
  • Manage and monitor data ingestion pipelines, ensuring reliable ETL/ELT processes and demonstrating awareness of Change Data Capture (CDC) tools for efficient data flow
  • Collaborate closely with data engineers and data analysts to design and implement efficient data models and robust data transformations
  • Contribute significantly to our modern data lake architecture, specifically leveraging Apache Iceberg for data organization and schema evolution
  • Implement and enforce data governance and compliance policies across the data warehouse and data lake environments
  • Tooling and Automation: Building and maintaining tools to automate common administrative tasks, such as table compaction, data expiration policies, and health checks
  • Lead troubleshooting and Root Cause Analysis (RCA) efforts for critical data issues, ensuring rapid resolution and preventing recurrence
  • Mentor junior data warehouse administrators and actively share best practices across the broader data and engineering teams
  • Fulltime
Read More
Arrow Right

Senior Microsoft Stack Data Engineer

Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senio...
Location
Location
United States , West Des Moines
Salary
Salary:
155000.00 USD / Year
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of DATA WAREHOUSE EXPERIENCE / Data Lake experience
  • Advanced SQL Server
  • Strong SQL experience, working with structured and unstructured data
  • Strong in SSIS ETL
  • Proficiency in SQL and SQL Queries
  • Experience with SQL Server and SQL Server
  • Knowledge of Data Warehousing and Data Warehousing
  • Data Warehouse experience: Star Schema and Fact & Dimension data warehouse structure
  • Experience with Azure Data Lake and Data lakes
  • Proficiency in ETL / SSIS and SSAS
Job Responsibility
Job Responsibility
  • Modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD
  • REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting
  • ALL ASPECTS OF Data Engineering
  • Technical Leader of the team
What we offer
What we offer
  • Bonus
  • 2 1/2 day weekends
  • Medical, vision, dental, and life and disability insurance
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to lead the design and ...
Location
Location
United Kingdom
Salary
Salary:
45000.00 - 60000.00 GBP / Year
activate-group.com Logo
Activate Group Limited
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience as a Senior Data Engineer, BI/Data Warehouse Engineer, or similar
  • Strong hands-on expertise with Microsoft Fabric and related services
  • End-to-end DWH development experience, from ingestion to modelling and consumption
  • Strong background in data modelling, including star schema, dimensional modelling and semantic modelling
  • Experience with orchestration, monitoring and optimisation of data pipelines
  • Proficiency in SQL and strong understanding of database principles
  • Ability to design scalable data architectures aligned to business needs
Job Responsibility
Job Responsibility
  • Lead the design, architecture and build of a new enterprise data warehouse on Microsoft Fabric
  • Develop robust data pipelines, orchestration processes and monitoring frameworks using Fabric components (Data Factory, Data Engineering, Lakehouse)
  • Create scalable and high-quality data models to support analytics, Power BI reporting and self-service data consumption
  • Establish and enforce data governance, documentation and best practices across the data ecosystem
  • Collaborate with cross-functional teams to understand data needs and translate them into technical solutions
  • Provide technical leadership, mentoring and guidance to junior team members where required
What we offer
What we offer
  • 33 days holiday (including bank holidays)
  • Personal health cash plan – claim back the cost of things like dentist and optical check ups
  • Enhanced maternity / paternity / adoption / shared parental pay
  • Life assurance: three times basic salary
  • Free breakfasts and fruit
  • Birthday surprise for everybody
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - Data Infrastructure

We build the data and machine learning infrastructure to enable Plaid engineers ...
Location
Location
United States , San Francisco
Salary
Salary:
180000.00 - 270000.00 USD / Year
plaid.com Logo
Plaid
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of software engineering experience
  • Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies
  • Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration
  • Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively
  • Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions
  • Demonstrated leadership abilities, including experience mentoring and guiding junior engineers
Job Responsibility
Job Responsibility
  • Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid
  • Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities
  • Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid
  • Debugging, troubleshooting, and reducing operational burden for our Data Platform
  • Growing the team via mentorship and leadership, reviewing technical documents and code changes
What we offer
What we offer
  • medical, dental, vision, and 401(k)
  • equity and/or commission
  • Fulltime
Read More
Arrow Right

Senior Data Architect

We are seeking a highly experienced Senior Data Architect with 12+ years of expe...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of experience in Data Engineering and Data Architecture
  • Proven experience working as a Data Architect on large-scale AWS platforms
  • Strong experience designing enterprise data lakes and data warehouses
  • Hands-on experience with batch data processing and orchestration frameworks
  • Excellent communication and stakeholder management skills
  • Ability to work onsite in Dubai, UAE
  • AWS Glue (ETL, Data Catalog)
  • Amazon EMR (Batch Processing)
  • AWS Lambda (Serverless Data Processing)
  • Amazon MWAA (Apache Airflow)
Job Responsibility
Job Responsibility
  • Design and own end-to-end AWS data architecture for enterprise platforms
  • Define data architecture standards, best practices, and reference models
  • Architect batch and event-driven data pipelines using AWS native services
  • Lead data ingestion, transformation, and orchestration workflows
  • Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)
  • Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift
  • Design NoSQL data solutions using Amazon DynamoDB
  • Implement data governance, metadata management, and access control using AWS DataZone
  • Ensure monitoring, logging, and observability using Amazon CloudWatch
  • Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions
  • Fulltime
Read More
Arrow Right

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right

Senior Data Engineering Architect

Location
Location
Poland
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Snowflake - Senior Technical Lead

Position: Snowflake - Senior Technical Lead; Experience: 8-11 years; Education: ...
Location
Location
India , Noida; Bangalore
Salary
Salary:
Not provided
https://www.soprasteria.com Logo
Sopra Steria
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Snowflake
  • Snowpipe
  • SQL
  • Data Modelling
  • DV 2.0
  • Data Quality
  • AWS
  • Snowflake Security
Job Responsibility
Job Responsibility
  • Define data partitioning, clustering, and micro-partition strategies to optimize performance and cost
  • Lead the implementation of ETL/ELT processes using Snowflake features (Streams, Tasks, Snowpipe)
  • Automate schema migrations, deployments, and pipeline orchestration
  • Monitor query performance and resource utilization
  • tune warehouses, caching, and clustering
  • Implement workload isolation for concurrent workloads
  • Define and enforce role-based access control (RBAC), masking policies, and object tagging
  • Ensure data encryption, compliance, and audit logging are correctly configured
  • Establish best practices for dimensional modeling and data vault architecture
  • Create and maintain data dictionaries, lineage documentation, and governance standards
What we offer
What we offer
  • Inclusive work environment
  • Open positions for people with disabilities
Read More
Arrow Right