senior data warehouse architect

Atos

<div></div><div><div><div><h3 class="jobSectionHeader"><b>Job Applicant Privacy Notice</b></h3>
</div></div><div><div><div><div><h1 class="jobSectionHeader"><b>DWP Data Architect
</b></h1></div></div></div></div><div><div><div><div>Publication Date: Oct 29, 2025
</div></div></div></div><div><div><div><div>Ref. No: 538842
</div></div></div></div><div><div><div><div>Location:
Bangalore, IN
</div></div></div></div><div></div><div><div><div><div><p><b>About Atos Group</b></p><br>
<p></p>
<p>
Atos Group is a global leader in digital transformation with c. 70,000 employees and annual revenue of c. &euro; 10 billion, operating in 67 countries under two brands &mdash; Atos for services and Eviden for products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos is a SE (Societas Europaea) and listed on Euronext Paris.</p><br>
<p></p>
<p>
The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.</p><div><b>
Position Overview:</b><br>
We are seeking a skilled and experienced DWP Data Architect to join our R&amp;D team. The successful candidate will be responsible for designing and developing the DWP Data Platform, which will serve as a centralized repository for data generated by DWP services. This platform will facilitate cross-service data sharing and will be instrumental in enabling AI and analytics functionalities across all Digital Workplace services.</div><br>
<div></div>
<div><b>
Key Responsibilities:</b></div>
<ul>
<li><b>Architecture Design:</b> Create a robust data architecture that meets the scalability, security, and performance requirements of the DWP Data Platform.</li>
<li><b>Data Management:</b> Design data models and data flows to effectively store and process structured, semi-structured, and unstructured data.</li>
<li><b>Technology Implementation:</b> Utilize Azure technologies to develop and implement the DWP Data Platform, ensuring adherence to best practices in data design.</li>
<li><b>Cross-Functional Collaboration:</b> Work closely with product managers, data engineers, and other stakeholders to understand data needs and ensure that the platform supports all DWP services effectively.</li>
<li><b>Leadership:</b> Lead the development team in implementing the data architecture, providing guidance on data design principles and practices.</li>
<li><b>Analytics Enablement:</b> Collaborate with data scientists and analysts to support the integration of AI and analytics capabilities into the DWP services.</li>
<li><b>Documentation:</b> Create and maintain comprehensive documentation of data architecture, data models, and design decisions to ensure clarity and alignment across teams.</li></ul><br>
<div></div>
<div><b>
Qualifications:</b></div>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field. A Master&rsquo;s degree is a plus.</li>
<li>Proven experience as a Data Architect or similar role, preferably in a large-scale data environment.</li>
<li>Strong knowledge of data architecture, data modeling, and data governance principles.</li>
<li>Experience with Azure cloud services and technologies (e.g., Azure Data Lake, Azure SQL Database, Azure Synapse Analytics).</li>
<li>Familiarity with data processing frameworks and tools for structured, semi-structured, and unstructured data.</li>
<li>Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.</li>
<li>Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.</li></ul><br>
<p></p>
<p><b>
Let&rsquo;s grow together.</b></p></div></div></div></div></div><p></p>

DWP Data Architect

Mars

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Job Description:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p>
We are seeking a highly skilled <b>Data Architect for Gen AI Engineering</b> to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights.</p><p></p><p><i>
This role is transformation-funded and therefore has an expected end date of 31st December 2026.</i></p><p></p><p><b>
What are we looking for?</b></p><ul><li><p>
A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications.</p></li><li><p>
Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions.</p></li><li><p>
Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices.</p></li><li><p>
Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives.</p></li></ul><p></p><p><b>
What will be your key responsibilities?</b></p><ul><li><p>
Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements.</p></li><li><p>
Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives.</p></li><li><p>
Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement.</p></li><li><p>
Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills.</p></li><li><p>
Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What can you expect from Mars?</b></h1><ul><li><p>
Work with diverse and talented Associates, all guided by the Five Principles.</p></li><li><p>
Join a purpose driven company, where we&rsquo;re striving to build the world we want tomorrow, today.</p></li><li><p>
Best-in-class learning and development support from day one, including access to our in-house Mars University.</p></li><li><p>
An industry competitive salary and benefits package, including company bonus.</p></li></ul><p></p><p>
#TBDDT</p></div><p></p>

Senior Data Architect - Gen AI Engineering

Boston Consulting Group

<div><p>Who We Are</p><p>
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br>
<br>
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.</p><p><br>
What You'll Do</p><p>
Be part of a Data Platform Engineering team that is building a unified data platform architecture to unlock the company&rsquo;s internal Data and AI needs as <b>Senior Manager &ndash; Data Warehouse Platforms (Data Platforms Engineer)</b> you will be an integral Individual contributor of an Agile platform team responsible for designing, delivering and running the enterprise data platforms (Snowflake &amp; Google BigQuery) and the supporting ingestion, transformation, orchestration and governance stack. You will partner with Product Owners, Enterprise &amp; Solution Architects, Infrastructure, Security, Analytics and Engineering teams to ensure the platform is secure, cost-efficient, highly available and governed. You have managed SaaS Enterprise Platforms and are adept at configuring access, identity and authentication methods.</p><p></p><p><br>
You can support implementation of ingestion tooling (Fivetran, AWS Glue, custom connectors), the transformation layer (dbt), orchestration (Airflow), data-quality/catalog/lineage (Informatica IDMC/Catalog/DQ), and data observability (Monte Carlo). Day-to-day, you will own release automation, CI/CD, runbooks, RBAC and masking, SSO/Okta integration, secrets management, FinOps practices, performance tuning, optimization and incident response. You will also manage vendor relationships (Fivetran, Informatica, Monte Carlo etc.) to explore latest developments and contribute to roadmap discussions. Increasing platform maturity and reliability gets you excited and you can lead discussions and mentor engineers to adopt similar best practices</p><p></p><p><br>
You are a fair hand at developing &amp; supporting custom applications (Streamlit, Django/Python). You use AI to improve your own work and love building and supporting AI solutions to help your customers.</p><p><br>
What You'll Bring</p><ul><li><b>
8+ years</b> in platform engineering / data platform roles, with <b>3+ years</b> in a senior/lead (Manager / Senior Manager) capacity.</li><li>
Hands-on delivery of enterprise-scale data platforms (Snowflake and/or Google BigQuery) supporting analytics/ML at multi-TB scale.</li><li>
Proven expertise with ingestion and integration tools: <b>Fivetran, AWS Glue</b> or equivalent, and experience building secure custom connectors.</li><li>
Deep practical experience in <b>dbt</b> (models, testing, CI/CD), Airflow (DAG design, scheduling, SLAs) and SQL/Python development.</li><li>
Operational experience with <b>Informatica IDMC / Catalog / Data Quality</b> (or equivalent) for metadata, lineage and enterprise data quality.</li><li>
Experience deploying/operating data observability tooling (e.g., <b>Monte Carlo</b>) and implementing runbook-driven incident management.</li><li>
Strong cloud &amp; infra skills: <b>Terraform</b>, IAM, networking, logging/monitoring and FinOps for data workloads.</li><li>
Demonstrated capability in security &amp; governance: RBAC, masking/tokenization, SSO (Okta), secrets management and audit logging.</li><li>
Track record of platform ownership: performance tuning, capacity planning, upgrades/migrations and vendor management.</li><li>
Excellent stakeholder management and communication skills; experience translating business needs into platform KPIs.</li><li>
Bachelor&rsquo;s degree in computer science, Engineering or related field (master&rsquo;s preferred). Relevant certifications (SnowPro, GCP Data Engineer, AWS Professional) are a plus.</li><li>
Comfortable mentoring engineers, leading cross-functional teams and driving platform strategy and delivery.</li></ul><p><br>
Who You'll Work With</p><p>
As part of the Data Platform Engineering Portfolio, you&rsquo;ll join a team that values curiosity, ownership and pragmatic engineering &mdash; there&rsquo;s no single mould here.</p><p></p><p><br>
You&rsquo;ll partner closely with Product Owners, Enterprise &amp; Solution Architects, Security, Analytics and IT to deliver platform outcomes at scale. You will work day-to-day with the cross-functional Product Engineering team and the Chapter Lead to shape platform strategy, mentor engineers and drive delivery. Our stakeholders are global, highly analytical and decision-focused, giving you exposure to complex business problems and the chance to influence how data is used across the firm.</p><p><br>
Additional info</p><p><b>
YOU&rsquo;RE GOOD AT</b></p><br>
<p></p><ul><li>
Architecting modern data platforms: Lead design, build and run of enterprise Data Warehouse platforms (Snowflake &amp; Google BigQuery) and modern ELT tooling to enable Analytics and AI use cases</li><li>
Enabling AI through data excellence &mdash; You understand what high-quality, well-governed data means for AI. You build the framework and tooling for data pipelines, feature stores, and data products that power model training, inference, and continuous learning.</li><li>
Being a guide for Ingestion tooling implementations: Help guide customers towards right platform-based solutions and partner with them in building appropriate connectors for batch &amp; streaming.</li><li>
Owning the transformation layer with <b>dbt</b>, modeling standards, testing, CI/CD and deployment governance. Build and maintain orchestration (Apache <b>Airflow</b>): scalable DAGs, scheduling, SLAs and alerting.</li><li>
Supporting Data Governance Initiatives with Platforms and Solutions: Implement enterprise data quality, cataloguing and lineage using <b>Informatica IDMC / Catalog / Data Quality</b> Deploying and operate data observability (e.g., <b>Monte Carlo</b>) and embed alerting/SLA workflows and runbooks.</li><li><b>
Solving complex engineering challenges</b> &mdash; You bring structure and innovation to ambiguous technical problems, leveraging automation, CI/CD, and infrastructure-as-code to drive reliability and velocity. Drive automation for release management, version control, infrastructure provisioning (Terraform), and environment promotion.</li><li>
Defining and enforcing platform standards: schema design, partitioning/clustering, performance tuning and cost controls (FinOps).</li><li><b>
Governance and FinOps mindset</b> &mdash; You understand how to balance control, cost, and agility &mdash; driving data security, compliance, and platform efficiency through metrics and continuous improvement. Implement security and governance: RBAC, data masking/tokenization, audit logging, SSO (Okta), and secrets management.</li><li><b>
Hands-on technical delivery</b> &mdash; You&rsquo;re comfortable getting into code and configurations (Django, Python, dbt, Terraform, Airflow, etc.) while mentoring engineers to build sustainable, production-grade solutions.</li><li>
Lead incident management, capacity planning, performance tuning and platform upgrades/migrations.</li><li>
Manage vendor relationships, licensing, and procurement for core platform technologies.</li><li><b>
Drafting Architecture diagrams to support data problems after understanding the use case and the technical ecosystem</b></li><li><b>
Staying ahead of the curve</b> &mdash; You are curious about emerging technologies (AI, Knowledge Graphs, MLOps, observability, and data contracts) and know when to pragmatically adopt them.</li><li><b>
Communicating for impact</b> &mdash; You can explain architecture trade-offs clearly to executives, engineers, and analysts &mdash; inspiring trust and alignment through clarity and empathy.</li><li>
Coaching and mentoring engineers; translate business needs into measurable platform deliverables and KPIs.</li></ul><p><br>
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
<br>
BCG is an E - Verify Employer. Click here for more information on E-Verify.</p></div>

Global IT Data Engineer Senior Manager – Data Warehouse Platforms

ProClink

<div><div><b>Core Responsibilities:</b></div><div>
Define and own the overall data architecture strategy.</div><div>
Design scalable, secure, and high-performance data platforms and integration frameworks.</div><div>
Partner with engineering and business teams to align architectural decisions with strategic goals.</div><div>
Evaluate and recommend modern technologies, frameworks, and patterns for data processing and analytics.</div><div>
Ensure adherence to architectural standards, data governance, and security compliance.</div><div>
Lead solution design reviews and guide implementation of complex data systems across multi-cloud environments.</div><div>
Drive innovation in data architecture to enable advanced analytics, AI, and ML use cases.</div><div></div><div><b><br>
Qualifications:</b></div><div>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field.</div><div>
12+ years of experience in data engineering and architecture roles.</div><div>
Deep expertise in designing data platforms on Azure, AWS, or GCP.</div><div>
Strong knowledge of data modeling, metadata management, and distributed data processing frameworks.</div><div>
Hands-on experience with warehouse, DataLake, DeltaLake, and Lakehouse data architectures.</div><div>
Ability to design and implement data ingestion from streaming and APIs</div><div>
Proven experience implementing CI/CD, infrastructure-as-code, and cloud security best practices.</div><div></div><div><b><br>
Preferred Qualifications:</b></div><div>
Professional level cloud certification (AWS, Azure, or GCP).</div><div>
Experience designing enterprise data mesh or data fabric architectures.</div><div>
Familiarity with data governance, lineage, and observability tools.</div><div>
Strong collaboration skills and ability to influence data-driven decisions across teams.</div></div><div></div>

Principal Data Architect - Data Engineering

EMIRATES GLOBAL ALUMINIUM (EGA)

<p>KEY ACCOUNTABILITIES:</p><ul><li>Data Architecture Design: Lead data architecture design to support real-time event streaming, data products, and different machine learning models solving optimisation, computer vision and LLM’s problems. This involves creating blueprints for data management systems to integrate, centralize, protect, and maintain the data sources.</li><li>System Development: Lead the design and support the implemention of large-scale data processing systems capable of handling the volume, velocity, and variety of data that needs to be analyzed and processed.</li><li>Data Strategy: Contribute and support of EGA’s data strategy, including the use of new technologies and practices, to improve the quality, reliability, and efficiency of data extraction and its use in machine learning and data product applications.</li><li>Data Modelling & Management: Spearhead the creation and maintenance of conceptual, logical, and physical data models, supporting both operational and AI use cases. Oversee data integrity and quality assurance processes across upstream, midstream and downstream.</li><li>Machine Learning Framework: Lead the design of the ML OPs framework and define Design workflows and processes that accelerate the development and deployment of machine learning models, ensuring that ML models are production-ready and scalable.</li><li>Data Governance: Lead and contribute to define policies and procedures for data governance in collaboration with the data protection officer and other stakeholders, ensuring compliance with data privacy and protection laws. Lead efforts of data governance platform integration.</li><li>Collaboration: Collaborate with IT teams, data engineers, and senior stakeholders to ensure that the data architecture supports and helps achieve strategic objectives. Lead in proposing, buy in and drive the end solution.</li><li>Communicate effectively complex data concepts, solutions, proposals in simple language to non-technical team members and senior leaders (Senior Director,C level, Executive Committee).</li><li>Mentorship and Leadership: Act as a mentor to data engineers (4-8), providing guidance and support in their professional development. Promote a culture of performance, collaboration, and continuous learning within the data team.</li><li>Innovation and Continuous Improvement: Stay up-to-date with industry trends and new technologies. Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability, reliability, and efficiency. Championing and driving initiatives like event sourcing, data contracts & schema registries, data lineage and automation downstream.</li><li>Problem Solving: Drive solutions, anticipate and contribute to resolve technical issues before they become roadblocks, maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity, I.e. alerting & monitoring strategy, change request frame work and automation, scaling up and data partitioning strategy</li><li>Project Management: Coordinate and indirectly manage data-related projects (15-20 use cases every 3 month waves), ensuring they are completed on time and within budget, meeting or exceeding stakeholder expectations.</li></ul><p>AUTHORITY/ DECISION MAKING:</p><ul><li>Design authority on data architecture, governance and technology selection to support scale up ambitions of 50-60 usecases a year.</li><li>Validate data security protocols and resource allocation decisions based on usecase requirements.</li><li>Validation of technical design and solutions to support 10 digital capabilities based on industry4.0 principles</li></ul>

Head of Data Architecture

Whiteshield

<div><p>Whiteshield is a global policy advisory and AI economics firm known for our ability to respond to global challenges rapidly and incisively. We use the most advanced tools and technology and combine them with our team of leading international experts to engage decision-makers in tackling society's most significant challenges. We are recognized for our rapid decision support, innovation, data science algorithms and deep policy expertise. We are specialists in &quot;connecting the dots&quot; between policy, business and technology.</p><p></p><p>
Whiteshield X is Whiteshield&rsquo;s product business, hosting our PaaS and SaaS product offering. Partnered with Google Cloud, we bring advanced solutions to governments around the world to drastically improve citizen outcomes in areas such as employment, trade, and education. We develop a host of different SaaS modules from job matching to managing scholarship programs, and from delivering financial support to growth support for SMEs. These modules support governments around the world with delivering G2C and G2B services efficiently and significantly improve policy outcomes.</p><p></p><p>
We are seeking a Senior Data Engineer who combines deep technical expertise with architectural vision to build the next generation of AI-accelerated data platforms.</p><p></p><p>
You will play a pivotal role in defining and implementing the organization&rsquo;s data architecture and platform strategy &mdash; ensuring that data is reliable, well-structured, and easily consumable across systems and applications. This is both a strategic and hands-on position: you&rsquo;ll design scalable architectures, build data pipelines, and collaborate with application and product teams to embed data excellence into every part of the technology stack.</p><p></p><p>
If you&rsquo;re passionate about data craftsmanship, AI-driven automation, and modern cloud-native ecosystems, this is an opportunity to make a large-scale impact.</p><p></p><p><b>
What You'll Do</b></p><p></p><ul><li>
Data Architecture &amp; Strategy</li></ul><p></p><ul><li>
Define and maintain the enterprise data architecture blueprint, spanning ingestion, lake, warehouse, and semantic layers.</li></ul><p></p><ul><li>
Collaborate closely with application and platform teams to design robust data strategies &mdash; ensuring alignment between application design, API contracts, and long-term data scalability.</li></ul><p></p><ul><li>
Develop integration patterns and governance models that support cross-platform interoperability, data lineage, and secure data sharing.</li></ul><p></p><ul><li>
Partner with cloud architects to ensure performance, scalability, and compliance across Azure environments.</li></ul><p></p><ul><li>
Data Engineering &amp; Orchestration</li></ul><p></p><ul><li>
Build and optimize end-to-end data pipelines using Apache Airflow, Azure Fabric, Azure Data Factory, and SSIS &mdash; integrating diverse data sources (transactional, streaming, and analytical).</li></ul><p></p><ul><li>
Implement AI-accelerated data processing for intelligent schema mapping, deduplication, and performance optimization.</li></ul><p></p><ul><li>
Develop and maintain ETL/ELT frameworks using SQL and Python (Pandas, PySpark) for high-volume, low-latency data movement.</li></ul><p></p><ul><li>
Data Modeling &amp; Warehousing</li></ul><p></p><ul><li>
Design semantic data models, dimensional schemas, and data marts using SSAS, PostgreSQL, MSSQL, and Azure Synapse/Fabric.</li></ul><p></p><ul><li>
Collaborate with BI and analytics teams to support dashboards, reports, and forecasting tools with clean, contextualized, and well-documented data models.</li></ul><p></p><ul><li>
Performance, Quality &amp; Governance</li></ul><p></p><ul><li>
Define standards for data quality, lineage, observability, and access control.</li></ul><p></p><ul><li>
Implement automated validation, monitoring, and reconciliation mechanisms.</li></ul><p></p><ul><li>
Work with governance and security teams to ensure compliance with national and organizational data frameworks.</li></ul><p></p><ul><li>
Collaboration &amp; Enablement</li></ul><p></p><ul><li>
Partner with application engineers, data scientists, and business analysts to deliver AI-ready, high-quality data products.</li></ul><p></p><ul><li>
Act as a bridge between application development and data architecture, ensuring consistent data design across services.</li></ul><p></p><ul><li>
Mentor junior data engineers and champion best practices in modern data engineering and DevOps for data.</li></ul><p></p><p><b>
Requirements</b></p><p><b>
Qualifications</b></p><p></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related discipline.</li></ul><p></p><ul><li>
6+ years of experience in data engineering and architecture, preferably in complex or government-scale environments.</li></ul><p></p><p><b>
Expertise in:</b></p><p></p><ul><li>
Orchestration: Apache Airflow, Azure Data Factory, or equivalent.</li></ul><p></p><ul><li>
ETL / BI Stack: SSIS, SSAS, dbt, Power BI semantic models.</li></ul><p></p><ul><li>
Databases: MSSQL, PostgreSQL, Azure Synapse, Azure Fabric Data Lake.</li></ul><p></p><ul><li>
Cloud Platforms: Deep knowledge of Azure (Fabric, Synapse, Blob, Data Lake, Functions, Logic Apps). Google Cloud is a plus.</li></ul><p></p><ul><li>
Languages: SQL and Python (Pandas, PySpark); experience with CI/CD pipelines and GitOps practices.</li></ul><p></p><ul><li>
Demonstrated experience designing AI-ready architectures and leveraging machine learning for data enrichment and automation.</li></ul><p></p><ul><li>
Strong understanding of data governance, interoperability standards, and scalable architecture design patterns.</li></ul><p><b>
Benefits</b></p><p><b>
WHY CHOOSE US |</b></p><p><b>
Our Commitment to Equal Opportunities:</b> At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We&rsquo;re committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.</p><p><b>
Celebrating Achievements:</b> At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.</p><p><b>
Empowering Our People:</b> At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority &ndash; innovation thrives. We are dedicated to promoting and encouraging a healthy work-life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.</p></div>

Senior Data Engineer - AI-Accelerated Data Architecture & Platforms

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br>
<p></p>
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.<p></p><p><b><br>
Job Description:</b></p><p>
Parsons is looking for an amazingly talented <b>Senior BIM Manager &ndash; Hyperscale Data Centre</b> to join our team!</p><p><br>
In this role, you will lead the Building Information Modelling strategy and execution across the lifecycle of a fast-track hyperscale data center project. The project involves complex engineering, high utility demand, and multiple contractor and consultant packages. Digital delivery and model-based coordination are central to achieving design and construction efficiency across all phases.</p><p></p><p><b>
What You&rsquo;ll Be Doing</b></p><ul><li><p>
Develop and implement the BIM Execution Plan (BEP) and digital delivery strategy.</p></li><li><p>
Manage BIM coordination across architectural, structural, MEP, and utility models.</p></li><li><p>
Lead clash detection and resolution processes using Navisworks or similar tools.</p></li><li><p>
Ensure model compliance with project standards, LOD requirements, and client protocols.</p></li><li><p>
Interface with design consultants, contractors, and client teams to align BIM workflows.</p></li><li><p>
Support 4D/5D BIM integration for construction sequencing and cost planning.</p></li><li><p>
Maintain Common Data Environment (CDE) and ensure data integrity and version control.</p></li><li><p>
Provide training and guidance to project teams on BIM tools and processes.</p></li></ul><p></p><p><b>
What Required Skills You&rsquo;ll Bring</b></p><ul><li><p>
10&ndash;15 years in BIM management, with significant experience on large-scale infrastructure or data center projects.</p></li><li><p>
Proficiency in Revit, Navisworks, BIM 360 / ACC, and other coordination platforms.</p></li><li><p>
Strong understanding of hyperscale data centre design and construction, including MEP-heavy environments.</p></li><li><p>
Excellent leadership, communication, and stakeholder engagement skills.</p></li><li><p>
Degree in Architecture, Engineering, or related field. BIM certifications (e.g., Autodesk, BRE) are required.</p></li></ul><p></p><p><b>
What Desired Skills You&rsquo;ll Bring</b></p><ul><li><p>
Experience in managing BIM across multi-package, fast-track projects.</p></li><li><p>
Familiarity with ISO 19650 standards and regional digital delivery protocols.</p></li><li><p>
Ability to drive innovation in digital construction and data integration.</p></li></ul><p></p>
Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.<p></p><p>
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!</p><p></p><div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
<br><div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div><br>
Financial Wellness</div><div><br>
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div><br>
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div><br>
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div><br>
Veteran Support</div><div><br>
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div><br>
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div><br>
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div><p></p>

Senior BIM Manager – Hyperscale Data Centre

Search 10000+ Senior data warehouse architect jobs near you this November. New roles added regularly across leading industries. Apply today.