Senior Data & Technology Architect Job at Broster Buchanan (London)

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

Senior Data Science Solution Architect

The consultant will need to have extensive experience working across Microsoft e...

Location

United States , Irving

Salary:

Not provided

Hire IT People, Inc

Expiration Date

Until further notice

Requirements

Extensive experience working across Microsoft environments utilizing Azure Cloud Solutions
Broad skill set encompassing SQL, Python, Dataiku, Alation, Databricks, Snowflake, Power BI, Tableau, AWS and Azure Clouds
Strong experience creating design documentation, and knowledge-based artifacts
Prior experience working with Accounting and Finance Leaders, as well as Sales and Operations Leaders – with an understanding of financial data and operational data (job coding, vendor data, costs, etc)
Expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert
Prior expertise from the Center of Excellence for Data, AI and ML
Minimum qualification is a bachelor's degree or equivalent in engineering or equivalent in a related field or a foreign equivalent is required closely related field with relevant experience

Job Responsibility

Work in collaboration with the business operations leaders to gain insight to how the company utilizes their data, uncover additional needs, and ultimately build an enhanced and scalable environment to meet business initiatives
Data Analysis and Data engineering: Utilizing tools and technologies like SQL and Python for data analysis and engineering tasks
Implementing data engineering activities using platforms like Databricks and Snowflake
Data Science Methodologies: Applying data science methodologies, using Python and tools like Dataiku for data science workflows
Apply Machine Learning strategies and models for a better Model deployment and pipelines
Data Governance: Serving as subject matter expert in Data Governance, leveraging Alation to manage and Govern Data effectively by doing data cataloging and stewardship
Team Leadership: Acting as a team or technical lead, responsible for Overseeing and delivering the team's work in data engineering and analysis
Dashboard Creation: Creating dashboards using visualization tools such as Power BI, Tableau and Microsoft suite
Cloud Services: Leveraging Amazon web services (S3, IAM, Redshift, Cloudwatch, Glue, Sagemaker,etc.. ) and Azure( Microsoft Fabric, Azure Data Factory,SQL Server,Azure SQL,SSAS,Synapse,Power BI) Cloud Services to implement and deliver business activities along with compliance, Security, Disaster recovery , testing and Devops
Assist the team or firm with the expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert

MarTech Senior Solutions Architect

We are looking for a passionate, motivated, high-performing team member to join ...

Location

United States

Salary:

Not provided

Zion & Zion

Expiration Date

Until further notice

Requirements

Extensive experience with Customer Data Platforms
Extensive marketing technology knowledge, encompassing a significant breadth of tools
Significant experience working with large datasets and working with query languages such as SQL
Significant experience leveraging front-end technologies such as JavaScript in the context of marketing technology platforms
Knowledge of tag management platforms such as Google Tag Manager, Tealium iQ, or Adobe Launch
Knowledge of cloud ecosystems such as Google Cloud Platform and Amazon Web Services
Knowledge of programming languages such as Python, Java, and PHP
Significant experience interacting with clients, and, in particular, in client-facing marketing technology roles
5+ years’ experience with a marketing technology agency, marketing automation agency, and/or analytics agency

Job Responsibility

Support the development and rollout of advanced web analytics tools and other marketing technology tools such as customer data platforms, tag management systems, marketing automation platforms, and more
Support the rollout of data warehousing projects incorporating various datasets from different sources
Rapidly develop prototypes and proofs of concept to test theories and frameworks
Identify opportunities for automation to help streamline processes and decrease time spent on manual tasks
Develop crawl-walk-run marketing technology strategies and deployment roadmaps
Support junior tag management specialists on advanced use cases which may include leveraging JavaScript
Mentor and train teammates to grow their expertise
Develop ideas for data visualization as it relates to data warehousing and marketing technology, and collaborate with agency data visualization experts to execute
Support thought leadership efforts in general
Develop marketing technology case studies

Senior Data Engineer

At Relatient, we’re on a mission to simplify access to care – intelligently. As ...

Location

India , Pune

Salary:

Not provided

Relatient

Expiration Date

Until further notice

Requirements

Bachelor's degree, B.E./ B. Tech, computer engineering, or equivalent work experience in lieu of a degree is required, Master’s degree preferred
7+ years of experience in database engineering, data warehousing, or data architecture
Proven expertise with at least one major data warehouse platform (e.g. Postgres, Snowflake, Redshift, BigQuery)
Strong SQL and ETL/ELT development skills
Deep understanding of data modeling
Experience with cloud data ecosystems (AWS)
Hands-on experience with orchestration tools and version control (Git)
Experience in data governance, security, and compliance best practices
Experience building/generating analytical reports using Power BI

Job Responsibility

Architect, design, and implement robust end-to-end data warehouse (DW) solutions using modern technologies (e.g. Postgres or on-prem solutions)
Define data modeling standards (dimensional and normalized) and build ETL/ELT pipelines for efficient data flow and transformation
Integrate data from multiple sources (ERP, CRM. APIs, flat files, real-time streams)
Develop and maintain scalable and reliable data ingestion, transformation, and storage pipelines
Ensure data quality, consistency, and lineage across all data systems
Analyst and tune SQL queries, schemas, indexes, and ETL process to maximize database and warehouse performance
Monitor data systems and optimize storage costs and query response times
Implement high availability, backup, disaster recovery, and data security strategies
Collaborate with DevOps and Infrastructure teams to ensure optimal deployment, scaling, and performance of DW environments
Work closely with Data Scientists, Analysts, and Business Teams to translate business needs into technical data solutions

What we offer

INR 5,00,000/- of life insurance coverage for all full-time employees and their immediate family
INR 15,00,000/- of group accident insurance
Education reimbursement
10 national and state holidays, plus 1 floating holiday
Flexible working hours and a hybrid policy

Fulltime

Enterprise Data Architect

We are seeking a highly skilled and collaborative Data Architect to join our Ent...

Location

United States , Columbus

Salary:

167000.00 - 184000.00 USD / Year

Abercrombie & Fitch Co.

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or related field
advanced degree preferred, or combination of relevant skills and experience
10+ years of experience in technical leadership within large-scale organizations (retail experience preferred)
Proven expertise in enterprise data architecture, ideally in cross-functional or federated environments
Strong understanding of data modeling, metadata management, and data integration
Experience with modern data platforms (Snowflake, Databricks), cloud providers (AWS, Azure, GCP), and streaming technologies (Kafka, Spark)
Practical experience designing production-ready cloud platforms and implementing AI/ML models at scale
Demonstrable experience with data governance tools, semantic models and frameworks
Excellent communication, stakeholder management, and change leadership skills
Ability to translate complex technical concepts into actionable business value

Job Responsibility

In partnership with Data Strategy teams, determine the business and technical capabilities needed to align strategies with execution
Own and author data capability maps aligned with business functions
Translate business needs into domain-aligned data models
Act as a Strategic Though Partner and Enabler of AI/ML initiatives
Advise business and technology leaders on AI-readiness of systems and platforms
Identify opportunities for data reuse, integration, and optimization
Champion the development of data products
Define data architecture and analytics capabilities to enable real-time visibility, predictive modeling, and data-driven decision-making
Leverage data to identify trends, risks, and opportunities
Serve as subject matter expert and a leader inside our AICoE and CCoE

What we offer

Incentive bonus program
401(K) savings plan with company match
Annual companywide review process
Flexible spending accounts
Medical, dental and vision insurance
Life and disability insurance
Associate assistance program
Paid parental and adoption leave
Access to fertility and adoption benefits through Carrot
Access to mental health and wellness app, Headspace

Fulltime

Senior Data Engineer

As a Senior Software Engineer, you will play a key role in designing and buildin...

Location

United States

Salary:

156000.00 - 195000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years experience in platform engineering, data engineering or in a data facing role
Experience in building data applications
Deep knowledge of data eco system with an ability to collaborate cross-functionally
Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Excellent communication skills
Self-motivated and self-directed
Inquisitive, able to ask questions and dig deeper
Organized, diligent, and great attention to detail
Acts with the utmost integrity
Genuinely curious and open

Job Responsibility

Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases
Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows
Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability
Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions
Monitor and ensure the health, quality, and reliability of data flows and platform services
Implement observability and alerting for data services and APIs (think logs, metrics, dashboards)
Continuously evaluate and integrate new tools and technologies to improve platform capabilities
Contribute to architectural discussions, code reviews, and cross-functional projects
Document your work, champion best practices, and help level up the team through knowledge sharing

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior Databricks Data Engineer

To develop, implement, and optimize complex Data Warehouse (DWH) and Data Lakeho...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven, expert-level experience with the entire Databricks ecosystem (Workspace, Cluster Management, Notebooks, Databricks SQL)
In-depth knowledge of Spark architecture (RDD, DataFrames, Spark SQL) and advanced optimization techniques
Expertise in implementing and managing Delta Lake (ACID properties, Time Travel, Merge, Optimize, Vacuum)
Advanced/expert-level proficiency in Python (with PySpark) and/or Scala (with Spark)
Advanced/expert-level skills in SQL and Data Modeling (Dimensional, 3NF, Data Vault)
Solid experience with a major Cloud platform (AWS, Azure, or GCP), especially with storage services (S3, ADLS Gen2, GCS) and networking.

Job Responsibility

Design and implement robust, scalable, and high-performance ETL/ELT data pipelines using PySpark/Scala and Databricks SQL on the Databricks platform
Expertise in implementing and optimizing the Medallion architecture (Bronze, Silver, Gold) using Delta Lake to ensure data quality, consistency, and historical tracking
Efficient implementation of the Lakehouse architecture on Databricks, combining best practices from DWH and Data Lake
Optimize Databricks clusters, Spark operations, and Delta tables to reduce latency and computational costs
Design and implement real-time/near-real-time data processing solutions using Spark Structured Streaming and Delta Live Tables
Implement and manage Unity Catalog for centralized data governance, data security and data lineage
Define and implement data quality standards and rules to maintain data integrity
Develop and manage complex workflows using Databricks Workflows or external tools to automate pipelines
Integrate Databricks pipelines into CI/CD processes
Work closely with Data Scientists, Analysts, and Architects to understand business requirements and deliver optimal technical solutions

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings.

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

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Senior Data & Technology Architect

Job Description

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