Lead Data Architect - Common Data Platform Job at Alleima Precision Tube (Stockholm)

Cloud Technical Architect / Data DevOps Engineer

The role involves designing, implementing, and optimizing scalable Big Data and ...

Location

United Kingdom , Bristol

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

An organised and methodical approach
Excellent time keeping and task prioritisation skills
An ability to provide clear and concise updates
An ability to convey technical concepts to all levels of audience
Data engineering skills – ETL/ELT
Technical implementation skills – application of industry best practices & designs patterns
Technical advisory skills – experience in researching technological products / services with the intent to provide advice on system improvements
Experience of working in hybrid environments with both classical and DevOps
Excellent written & spoken English skills
Excellent knowledge of Linux operating system administration and implementation

Job Responsibility

Detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems
Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
Assisting with solution improvement activities driven either by the project or service
Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation
Cloud Engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code
Provide technical challenge and assurance throughout development and delivery of work
Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership
Work independently and/or within a team using a DevOps way of working

What we offer

Extensive social benefits
Flexible working hours
Competitive salary
Shared values
Equal opportunities
Work-life balance
Evolving career opportunities
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Senior Data Platform Architect

We are seeking a Senior Data Platform Architect to serve as a lead architect and...

Location

United States , McLean

Salary:

Not provided

Clark Construction Company

Expiration Date

Until further notice

Requirements

7–10+ years in data engineering, enterprise integration, or platform architecture
Hands-on experience working in a hybrid environment that leverages Snowflake or Databricks for its powerful cloud data warehousing, AWS Infrastructure, Microsoft Fabric (OneLake) for unified data mesh capabilities, and Talend, Matillion, Mulesoft (or similar ETL/ELT tools) for complex enterprise integration
You are equally comfortable discussing API integration patterns as you are writing complex scripts ( eg - python, lambda functions andSQL)
Deep, hands-on expertise in Data Lakehouse technologies like Snowflake, Databricks and ELT/ETL technologies such as Mulesoft, Talend, Matillion, Informatica Cloud services is essential
You have a proven track record of solving scaled problems and building platforms that support 1,000+ users

Job Responsibility

Technical Leadership: Serve as the senior technical lead for the platform, establishing the standards for how the platform is architected, managed, data is moved, stored, and secured
Foundational Data Modeling: Design the "Unified Core" of our data creating the logic and common connectors that allow data from various sources to be combined into a single, reliable source of truth for enterprise usage
Complex Data Integration: Architect and maintain mission-critical data flows between disparate enterprise systems, and democratize data consumption to enable self-serve analytics
Cross-platform Governance: Implement cross-platform governance and security, ensuring seamless data movement and "Zero-Copy" sharing across data storage and Data Lakehouse - For example - Connectivity between Snowflake Iceberg tables and Microsoft OneLake, integration of SAP Business Data Cloud with Snowflake and Databricks
Platform Modernization: You will develop and maintain long-term roadmaps and drive healthy operating stats for data platforms for security, performance and availability. Advise and execute on continuous innovation that will include feature augmentation and selection of new technologies
Data Governance and Catalog: Establish and scale corporate data catalog, ensuring 100% metadata coverage and establishing clear data stewardship roles to improve enterprise data discoverability and trust
System Stability & Scalability: Lead high-priority infrastructure initiatives and upgrades, such as Snowflake upgrades and performance tuning to ensure a resilient, 24/7 production environment
Collaboration: Partner with business ensure the underlying data architecture perfectly supports advanced visualization and machine learning deployments

Fulltime

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

Staff Software Engineer, Data Infrastructure

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

195400.00 - 275550.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with 3+ years focused on data engineering and analytics systems
Expert-level experience with Snowflake including advanced SQL, performance optimization, and cost management
Deep proficiency in DBT for data modeling, transformation, and testing with experience in large-scale implementations
Strong expertise with Apache Airflow for complex workflow orchestration and pipeline management
Hands-on experience with Sigma or similar modern BI platforms for self-service analytics
Extensive AWS experience including data services (S3, Redshift, EMR, Glue, Lambda, Kinesis) and infrastructure management
Proficiency in Python, SQL, and other programming languages commonly used in data engineering
Experience with infrastructure-as-code, CI/CD practices, and modern DevOps tools
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Proven track record designing and implementing large-scale distributed data systems

Job Responsibility

Define and drive the technical strategy for Docker's data platform architecture, establishing long-term vision for scalable data systems
Lead design and implementation of highly scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma
Architect end-to-end data pipelines supporting real-time and batch analytics across Docker's product ecosystem
Drive technical decision-making around data platform technologies, architectural patterns, and engineering best practices
Establish technical standards for data quality, testing, monitoring, and operational excellence
Design and build robust, scalable data systems that process petabytes of data and support millions of user interactions
Implement complex data transformations and modeling using DBT for analytics and business intelligence use cases
Develop and maintain sophisticated data orchestration workflows using Apache Airflow
Optimize Snowflake performance and cost efficiency while ensuring reliability and scalability
Build data APIs and services that enable self-service analytics and integration with downstream systems

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Senior Data Engineer

At Rearc, we're committed to empowering engineers to build awesome products and ...

Location

India , Bangalore

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering, showcasing expertise in diverse architectures, technology stacks, and use cases
Strong expertise in designing and implementing data warehouse and data lake architectures, particularly in AWS environments
Extensive experience with Python for data engineering tasks, including familiarity with libraries and frameworks commonly used in Python-based data engineering workflows
Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue
Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask
Proficiency with Spark and Databricks is highly desirable
Experience with SQL and NoSQL databases, including PostgreSQL, Amazon Redshift, Delta Lake, Iceberg and DynamoDB
In-depth knowledge of data architecture principles and best practices, especially in cloud environments
Proven experience with AWS services, including expertise in using AWS CLI, SDK, and Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or AWS CDK
Exceptional communication skills, capable of clearly articulating complex technical concepts to both technical and non-technical stakeholders

Job Responsibility

Strategic Data Engineering Leadership: Provide strategic vision and technical leadership in data engineering, guiding the development and execution of advanced data strategies that align with business objectives
Architect Data Solutions: Design and architect complex data pipelines and scalable architectures, leveraging advanced tools and frameworks (e.g., Apache Kafka, Kubernetes) to ensure optimal performance and reliability
Drive Innovation: Lead the exploration and adoption of new technologies and methodologies in data engineering, driving innovation and continuous improvement across data processes
Technical Expertise: Apply deep expertise in ETL processes, data modelling, and data warehousing to optimize data workflows and ensure data integrity and quality
Collaboration and Mentorship: Collaborate closely with cross-functional teams to understand requirements and deliver impactful data solutions—mentor and coach junior team members, fostering their growth and development in data engineering practices
Thought Leadership: Contribute to thought leadership in the data engineering domain through technical articles, conference presentations, and participation in industry forums

Enterprise Solutions Architect

The individual in this role will require a combination of deep technical experti...

Location

United States , Trenton

Salary:

Not provided

Dash Technologies

Expiration Date

Until further notice

Requirements

Data Governance
Middleware
master data management
Data Warehousing
Platforms
understand
Ability to make informed decisions under uncertainty, weigh multiple factors/constraints, consider long-term implications of architectural choices
Knowledge of electronic data processing platforms and software
Knowledge of database/data dictionary systems and applications
Knowledge of application portfolio management, software design patterns, application integration, legacy system modernization, app lifecycle mgmt

Job Responsibility

Design integration strategies for disparate systems, applications, and data sources across the enterprise
Establish common interfaces, architecture principles, data standards, and best practices
Support senior management on complex technology initiatives and investment decisions
Create an architecture review process to evaluate proposed solutions against standards and strategic objectives
Collaborate with the security team to ensure solutions meet organizational and regulatory requirements

Fulltime

Data Analyst

The data analyst is responsible for analyzing business requirements and converti...

Location

United States , Bellevue

Salary:

68000.00 - 122700.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree
2-4 years Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on-prem and cloud such as Azure, AWS and Google Cloud
2-4 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data
2-4 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
2-4 years Experience working with relational databases using SQL
2-4 years Experience with data visualization tools such as Power BI, Tableau etc
Experience of relational databases, data warehousing and data architecture computer systems, including not limited to SQL, Python
Strong experience with large language models (LLMs) such as GPT, Claude, Gemini, Llama etc.
Technology Experience with Data querying, cleaning, wrangling, working with common relational and non-relational databases in big data environments such as Azure, AWS and Google Cloud
Technology Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data

Job Responsibility

Collaborate with Business SMEs, Product owners, Data Stewards, and Data Architects to identify critical data elements, define business terms, capture metadata, define data schema, clean, and prepare data in an appropriate format to perform analysis
Analyze data using statistical techniques to identify trends and patterns (e.g. growth/decline in key metrics) and create visualizations and reports to present findings to business stakeholders and/or data scientists for further actions
Define analytics tagging requirements for new and enhanced web/app features and ensure alignment with business KPIs
Automate the generation of analytics event specifications using AI/LLM tools (e.g., GPT-based models, generative automation platforms)
Perform data profiling, assess, and monitor the quality of data by working with the Data stewards, Data quality leads, and internal stakeholders and support the implementation of data quality rules and remediation of issues
Collaborate/Partner with product owner and agile delivery teams to ensure that the project/product is delivered with quality and in time
Interpret data models (Logical and Physical) and ensuring they align with the solution design
Convert user requirements into technical specifications and design documents, and identifying new data sources for the data warehouse
Also responsible for other Duties/Projects as assigned by business management as needed

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Employee stock grants
Employee stock purchase plan
Paid time off

Fulltime

Manager, Enterprise Information Management Platform Admin

Manage, in a highly automated manner, the infrastructure of SHC's Enterprise Inf...

Location

United States of America , Palo Alto

Salary:

83.98 - 111.27 USD / Hour

Stanford Health Care

Expiration Date

Until further notice

Requirements

BS/BA degree in information technology, information systems, business management, business analytics, business administration or a directly related field from an accredited college or university required
EIGHT (8) OR MORE YEARS EXPERIENCE AS A CLOUD ENGINEER, DATA ENGINEER, OR IN SIMILAR TECHNOLOGY ROLES WITH A RECENT FOCUS ON CLOUD TECHNOLOGIES REQUIRED
Certifications in Azure (e.g., Azure Solutions Architect, Azure Data Engineer) and/or Databricks required
Thought Leadership in Cloud Technologies
Comprehensive Knowledge of Azure Services
Strategic Vision for Data Architecture
Expertise in Infrastructure-as-Code and Automation
Innovative Solution Design
Influential Leadership and Mentorship
Expertise in Data Security and Compliance

Job Responsibility

Technical Leadership: Serve as the highest technical authority for a specific operational domain and/or technology
Innovation and Research: Drive innovation by researching and implementing cutting-edge technologies and methodologies
Strategy & Architecture Design: Design complex data architectures and frameworks to support business needs
EIM Environment & Infrastructure Mgmt: Collaborate with Cloud Infrastructure leadership to align and optimize common operational processes
Design and enforce platform standards
Data Operations Management: Own domains and/or components of the data platform and operational processes
Data Pipelines/Ingestion: Design and implement scalable and efficient data pipelines for various data types
Security and Compliance: Contribute to risk management with Security and Compliance to define potential solutions
FinOps: Contribute to cost governance, usage showback/chargeback reporting, chargeback agreements, etc
Documentation and Training: Create comprehensive documentation of solutions and operations processes

Fulltime

Lead Data Architect - Common Data Platform

Alleima Precision Tube

Location:
Sweden , Stockholm

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 10, 2026

Expiration:
April 12, 2026

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