Russell Investments is aleading outsourcedCIO(OCIO) partner and global investment solutions firm providing a wide range of investment capabilities to institutional investors, financial intermediaries, and individual investors around the world. Building on an 88-year legacy of continuous innovation to deliver exceptional value to clients, Russell Investments works every day to improve the financial security of its clients. The firm has over $1 trillion in assets under advisement (as of December 31, 2023) and $302.7billion in assets under management (as of March 31, 2024). Headquartered in Seattle, Washington, Russell Investments has offices in 16 cities around the world, including London, New York, Toronto, Sydney, Tokyo, Mumbai, and Shanghai.

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Russell Investments is seeking a Principal Enterprise Data & Analytics Architect to lead the design, implementation, and modernization of the firm's enterprise data and analytics architecture in a hybrid environment. This role involves defining the data architecture roadmap, developing design patterns, optimizing data warehouse solutions, leading data modeling efforts, and implementing MDM strategies. The architect will also drive cloud migration initiatives, integrate legacy systems, and enable AI/ML-ready data environments, partnering with various business units to deliver scalable data products.

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Business Unit:</h2><p class="my-4 text-gray-700 leading-relaxed">Global Technology</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Salary Range:</h2><p class="my-4 text-gray-700 leading-relaxed">$160,000 USD - $190,000 USD</p><p class="my-4 text-gray-700 leading-relaxed">Specific compensation will be based on candidate’s experience, skills, qualifications, commercial considerations, and other job-related factors permitted by law. At Russell Investments, salary is just one part of our compensation package. Our total rewards approach includes an annual performance bonus (subject to eligibility criteria) in addition to participation in our competitive benefits programs including healthcare, retirement, vacation, and wellbeing programs.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Description:</h2><p class="my-4 text-gray-700 leading-relaxed">Russell Investments is seeking a Principal Enterprise Data & Analytics Architect to join our Enterprise Data Office (EDO) within the Technology organization. The EDO functions as a horizontal capability, enabling enterprise data architecture, governance, engineering, and analytics enablement across all lines of business. This role will lead the design, implementation, and modernization of Russell’s enterprise data and analytics architecture in a hybrid environment (on-premises + cloud). The Architect will bridge enterprise technology teams (DevOps, Production Support, Cloud Platform) and domain-aligned teams across multiple business verticals — driving excellence in data modeling, master data management, data warehouse design, and AI/ML-ready architecture patterns.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Key Responsibilities</h3><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Enterprise & Solution Architecture</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Define and maintain the enterprise data architecture roadmap aligned with the firm’s technology strategy and business objectives.</li><li class="leading-relaxed">Develop reference architectures, design patterns, and reusable components for data ingestion, transformation, modeling, and analytics.</li><li class="leading-relaxed">Partner with domain engineering and analytics teams to design fit-for-purpose, interoperable data solutions that align with enterprise standards.</li><li class="leading-relaxed">Lead architectural review sessions and ensure governance alignment across all domains.</li><li class="leading-relaxed">Serve as an advisor to leadership on data strategy, modernization, and investment prioritization.</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Data Platform, Modeling & Warehouse Design</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Architect and optimize data warehouse and data lakehouse solutions leveraging modern cloud data platforms (Snowflake, Databricks, Azure/AWS) integrated with on-prem databases.</li><li class="leading-relaxed">Lead enterprise-wide data modeling efforts (conceptual, logical, and physical) to ensure consistency, performance, and scalability across domains.</li><li class="leading-relaxed">Champion the use of canonical models and metadata standards to support semantic alignment and data product reuse.</li><li class="leading-relaxed">Design robust data warehouse architectures that support analytical, regulatory, and operational workloads, with a strong foundation in dimensional modeling and data vault methodologies.</li><li class="leading-relaxed">Collaborate with BI and Analytics teams to define semantic and business layers that enable self-service analytics.</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Master Data Management (MDM) & Data Governance</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Define and implement the enterprise MDM strategy ensuring consistency and accuracy of critical master and reference data (Client, Product, Account, Instrument, Legal Entity).</li><li class="leading-relaxed">Integrate data quality, metadata, and lineage frameworks within all architectural designs.</li><li class="leading-relaxed">Partner with governance and stewardship teams to enforce data ownership, classification, and privacy controls.</li><li class="leading-relaxed">Promote the 'data as a product' mindset across business domains.</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Cloud Modernization & Migration</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead cloud migration initiatives for legacy data platforms (SQL Server, Oracle, and other on-prem systems) to modern cloud environments.</li><li class="leading-relaxed">Define migration patterns, cut-over strategies, and hybrid data access architectures.</li><li class="leading-relaxed">Partner with infrastructure and DevOps teams to implement CI/CD pipelines, Infrastructure-as-Code, and automated provisioning for data platforms.</li><li class="leading-relaxed">Ensure designs address scalability, security, cost optimization, and resiliency.</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Legacy Systems Integration</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Maintain deep familiarity with legacy database technologies, particularly Microsoft SQL Server, and design hybrid patterns that enable interoperability with modern cloud solutions.</li><li class="leading-relaxed">Provide guidance on data extraction, replication, and real-time synchronization between legacy and cloud systems.</li><li class="leading-relaxed">Serve as a subject-matter expert in SQL Server architecture, performance tuning, and optimization as part of the broader modernization roadmap.</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Emerging Technologies & AI/ML Enablement</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Architect AI/ML-ready data environments by ensuring pipelines and models support feature engineering, versioning, and reproducibility.</li><li class="leading-relaxed">Collaborate with data scientists and ML engineers to define data provisioning, model training, and inferencing pipelines integrated into enterprise data architecture.</li><li class="leading-relaxed">Define data lineage, observability, and quality frameworks that ensure trust in AI/ML outputs.</li><li class="leading-relaxed">Nice to have: Hands-on exposure or background in machine learning, AI model lifecycle management, or MLOps frameworks (e.g., SageMaker, Azure ML, MLflow).</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Cross-Domain Solution Delivery</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Partner with technology and analytics teams across Investments, GTM/Sales (Retail & Institutional), Marketing, Finance, HR, Risk & Performance, and Legal to deliver scalable data products.</li><li class="leading-relaxed">Translate business requirements into logical and physical data models, reusable domain data pipelines, and shared data assets.</li><li class="leading-relaxed">Drive architectural consistency and interoperability across verticals.</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Platform Modernization & Transformation</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead modernization initiatives to transition from legacy on-prem systems to cloud and hybrid architectures.</li><li class="leading-relaxed">Introduce event-driven and streaming patterns (Kafka, Event Hubs) where real-time data is required.</li><li class="leading-relaxed">Support adoption of federated data architecture principles (Data Mesh) within defined enterprise guardrails.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Qualifications</h3><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Required:</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">10+ years of experience in data architecture, data engineering, or enterprise data solution design.</li><li class="leading-relaxed">10+ years of experience in SQL and advanced concepts.</li><li class="leading-relaxed">3+ years with DBT and familiarity with advanced concepts.</li><li class="leading-relaxed">5+ years designing cloud-based data platforms (Azure preferred).</li><li class="leading-relaxed">Proven expertise in data modeling and data warehouse design (3NF, dimensional, Data Vault).</li><li class="leading-relaxed">Hands-on experience with Master Data Management (MDM) strategy and implementation.</li><li class="leading-relaxed">Demonstrated success leading cloud migration projects and designing hybrid architectures.</li><li class="leading-relaxed">Strong proficiency in SQL Server and relational database optimization.</li><li class="leading-relaxed">Knowledge of metadata management, data governance, data quality, and lineage.</li><li class="leading-relaxed">Excellent communication and stakeholder management across technical and business domains.</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Preferred:</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience in investment management, asset management, or financial services.</li><li class="leading-relaxed">Familiarity with AI/ML architectural patterns, feature stores, and model lifecycle integration.</li><li class="leading-relaxed">Exposure to Python, Spark, or Databricks for data transformation and ML pipelines.</li><li class="leading-relaxed">Experience with data observability tools (e.g., Monte Carlo, Great Expectations, Datafold).</li><li class="leading-relaxed">Certifications in Snowflake, Databricks, or Cloud Data Architecture a plus.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Soft Skills & Leadership</h3><p class="my-4 text-gray-700 leading-relaxed">Strategic thinker with ability to translate architecture into business outcomes. Strong influencer who can align stakeholders across federated data domains. Collaborative, pragmatic, and capable of mentoring other architects and engineers. Comfortable operating across multiple business units and global teams.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Education</h3><p class="my-4 text-gray-700 leading-relaxed">Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field. Advanced technical certifications preferred.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Success Metrics</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Adoption of standardized enterprise data models and MDM frameworks.</li><li class="leading-relaxed">Successful cloud migration of key legacy systems.</li><li class="leading-relaxed">Improved time-to-insight and AI/ML readiness of data platforms.</li><li class="leading-relaxed">Reduction in data redundancy and improved quality across domains.</li><li class="leading-relaxed">Measurable improvement in governance, lineage, and cost efficiency.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Compensation & Level</h3><p class="my-4 text-gray-700 leading-relaxed">Job Level: Principal / Senior Architect Compensation Band: • Base salary: TBD (commensurate with experience & location) • Target bonus: TBD • Work model: 4 days on-site, 1 day remote</p><p class="my-4 text-gray-700 leading-relaxed"><em>This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.</em></p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Equal Employment Opportunity</h2><p class="my-4 text-gray-700 leading-relaxed">Russell Investments is committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status , or any other characteristic protected by law.</p>

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Line of Service</h2><p class="my-4 text-gray-700 leading-relaxed">Advisory</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Industry/Sector</h2><p class="my-4 text-gray-700 leading-relaxed">Not Applicable</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Specialism</h2><p class="my-4 text-gray-700 leading-relaxed">Data, Analytics & AI</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Management Level</h2><p class="my-4 text-gray-700 leading-relaxed">Senior Associate</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Description & Summary</h2><p class="my-4 text-gray-700 leading-relaxed">At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Why PWC</h2><p class="my-4 text-gray-700 leading-relaxed">At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">about us</a>.</p><p class="my-4 text-gray-700 leading-relaxed">At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. 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We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data.</li><li class="leading-relaxed">Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools.</li><li class="leading-relaxed">Work with structured and unstructured data stored in AWS or Azure Data Lakes.</li><li class="leading-relaxed">Apply strong SQL and Python skills to manipulate and analyze data efficiently.</li><li class="leading-relaxed">Collaborate with cross-functional teams to deliver cloud-based serverless data solutions.</li><li class="leading-relaxed">Design innovative data solutions that address complex business requirements and support data-driven decision-making.</li><li class="leading-relaxed">Maintain documentation and enforce best practices for data architecture, governance, and performance optimization.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Mandatory skill sets:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Databricks, PySpark, and SQL on any cloud platform (AWS or Azure).</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Preferred skill sets:</h2><p class="my-4 text-gray-700 leading-relaxed">ETL, Pyspark</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Years of experience required:</h2><p class="my-4 text-gray-700 leading-relaxed">4 to 10 Years</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Education qualification:</h2><p class="my-4 text-gray-700 leading-relaxed">Bachelor's degree in computer science, data science or any other Engineering discipline. 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