Role Description This Sr. Data Engineer – Fabric serves as a senior technical leader within the Data Engineering organization and is responsible for designing, implementing, and optimizing enterprise-scale data solutions utilizing Microsoft Fabric. This role leads the design and development of modern data architectures leveraging OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, Notebooks, and related Azure technologies. The Sr. Data Engineer - Fabric collaborates with business stakeholders, analytics teams, architects, and leadership to deliver reliable, scalable, and secure data solutions that support operational reporting, advanced analytics, machine learning, and enterprise decision-making. In addition to hands-on engineering responsibilities, this role provides technical leadership and mentorship to other Data Engineers, establishes engineering standards and best practices, participates in platform governance initiatives, and serves as a subject matter expert for Microsoft Fabric and modern data platform technologies. This role reports to the Sr. Data Engineering & Report Visualization Manager. What This Role Does - Collaborates with cross-functional teams to understand data and analytical requirements and translates them into effective Microsoft Fabric–based data solutions. - Mentors and provides technical leadership to Data Engineers through code reviews, design reviews, knowledge-sharing sessions, and engineering best practices. - Establishes and maintains data engineering standards, reusable frameworks, development patterns, and operational best practices to improve consistency and scalability across the data platform. - Leads root cause analysis and resolution efforts for critical production issues impacting enterprise data pipelines, reporting solutions, and platform operations. - Reviews and provides guidance on solution designs, architecture decisions, and implementation approaches to ensure alignment with enterprise standards and best practices. - Designs, develops, and maintains end-to-end data ingestion and transformation processes using Microsoft Fabric OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and Notebooks. - Formats, cleanses, and stores data in a structured manner to ensure data quality and accessibility for reporting and analysis, following Medallion Architecture. - Works closely with reporting and analytics teams to ensure datasets are accurate, well-modeled, and optimized for Power BI and other analytical workloads. - Creates comprehensive documentation for data pipelines, processes, and solutions. - Participates in data governance activities to ensure data integrity, security, and compliance. - Utilizes source control to manage and track changes to data pipelines and codebase. - Provides level II/III support to troubleshoot and resolve data-related issues and inquiries. - Provides ancillary support for Machine Learning (ML) and Artificial Intelligence (AI) processes. - Evaluates emerging technologies, industry trends, and architectural patterns related to data engineering, analytics, artificial intelligence, and cloud platforms and provides recommendations for adoption. - Manages and optimizes Microsoft Fabric platform performance by monitoring capacity utilization, query performance, Lakehouse and Warehouse workloads, Delta table maintenance (OPTIMIZE/VACUUM), data partitioning, storage consumption, and pipeline execution to ensure scalable, reliable, and cost-effective data operations. - Develops and maintains monitoring, alerting, and observability solutions for Microsoft Fabric pipelines, notebooks, Lakehouses, Warehouses, semantic models, and related data platform components to ensure operational reliability and rapid issue resolution. - Performs other duties as assigned. Qualifications - Bachelor's degree in computer science, information technology, or a related field (or equivalent experience). - A minimum of six (6) years of proven experience in data engineering, ETL development, and data warehousing. - Demonstrated experience leading complex data engineering projects from architecture and design through implementation and operational support. - Demonstrated ability to lead through influence, collaboration, and technical expertise, including mentoring Data Engineers and cross-functional technical teams, leading initiatives and workstreams, and driving successful cross-functional outcomes. - Experience establishing engineering standards, governance processes, development frameworks, and operational best practices. - Advanced troubleshooting and performance optimization experience across cloud data platforms, distributed processing frameworks, and enterprise data solutions. - Strong hands-on experience with Microsoft Fabric, including OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and/or Notebooks. - Solid understanding of Medallion Architecture, Delta Lake concepts, data modeling, and modern analytics patterns. - Experience with data governance, data quality, and data security frameworks and standards. - Solid grasp of Continuous Integration Continuous Delivery (“CI/CD”), including source control, deployment pipelines, and release management practices. - Experience with Git-based source control and collaborative development workflows. - Expertise in integrating Fabric solutions with Power BI, Azure services, and external data sources. - Experience monitoring and tuning cloud-based data platforms for performance, scalability, and cost optimization. - Experience with Apache Spark and PySpark within Microsoft Fabric. - Expertise in developing data pipelines to support Machine Learning (ML) and/or Artificial Intelligence (AI) tools is a plus. - Excellent verbal and written communication skills, presentation, problem-solving skills and attention to detail. - Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes. - Ability to work independently and collaboratively with colleagues and staff to create a high-quality, results-driven, team-oriented, fast-paced environment. - Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality. - Willingness and ability to work flexible hours. - Proficiency in MS Office (including Excel, Outlook, PowerPoint, Visio, & Word) and modern communication tools for virtual teams (e.g., MS Teams, Slack). Physical Demands - Sitting, standing, and walking (95-100%) - Keyboarding (70-90%) - Viewing computer monitor, tablet, and cell phone requiring close vision (70-90%) Work Environment - 100% Remote: Work environment is at home. Compensation $150,000 - $160,000 plus 5% determined by competitive market analysis and internal equity considerations. Final compensation will be based on the candidate’s qualifications, experience, and business needs. For details on our comprehensive benefits program, visit www.clearcaptions.com/careers to explore our total rewards package. Intrigued to learn more? When you apply for this role, your information will be personally reviewed by our talent acquisition team (not by a robot). You can expect to hear back from us if we think there could be a fit and what next steps look like. Disclaimer The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.

Role Description As a Data Engineer, you will be responsible for building and maintaining scalable, reliable data infrastructure that powers the organization's data platform. You will: - Develop ETL/ELT pipelines for both batch and real-time data processing - Integrate data from multiple sources - Optimize data warehouse models - Ensure data quality, performance, and scalability Working closely with Data Scientists, Analytics Engineers, BI specialists, and IT/DevOps teams, you will enable data-driven decision-making and support key business functions in a fast-growing international e-commerce environment. Qualifications - At least 3 years of experience in data engineering, building and maintaining scalable data pipelines and platforms - Strong experience with SQL, comfortable working in complex data environments - Hands-on experience with ETL/ELT processes and modern data tooling such as Apache Airflow - Experience with dbt (Data Build Tool) for developing, testing, documenting, and managing scalable data transformation workflows within a modern data warehouse environment - Experience with cloud environments such as AWS and/or GCP - Pragmatic mindset with strong ownership and a focus on delivering impact - Strong English communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders Requirements - Experience in Apache Flink and Databricks - Experience in Python for data processing and pipeline development - Experience with machine learning (understanding of model training, inference, and MLOps) - Fluent in Dutch Company Description Our client is a Netherlands-based company and a leading online retailer of musical instruments, audio equipment, lighting solutions, production tools, and DJ gear. Founded in 2003, the company has grown into the largest player in the Benelux region, serving millions of visitors annually and shipping hundreds of thousands of orders each year. With a strong presence across multiple European markets and an ambitious growth strategy, the company continues to expand its footprint while delivering innovative products and exceptional customer experiences to music enthusiasts and professionals alike.

Role Description - Design and deliver end-to-end data platforms for analytics, BI, machine learning and AI-ready data products - Build and optimise scalable ETL/ELT pipelines with Databricks, Spark/PySpark, SQL and Python - Own data processing logic, transformations and platform performance for reliable, scalable solutions - Design lakehouse architectures such as Medallion and Delta Lake aligned with business needs - Improve pipelines, development practices and delivery processes - Collaborate with architects, analysts and stakeholders to turn requirements into effective solutions - Apply data quality, governance and security standards across the platform - Mentor engineers and share knowledge across the team - Lead or contribute to technical design discussions and influence architecture decisions for data platform solutions Qualifications - 5+ years’ experience in data engineering or similar roles - Strong hands-on experience with Spark/PySpark, SQL, Python and Databricks or similar platforms - Experience building ETL/ELT pipelines and data warehouse or lakehouse architectures - Solid understanding of data modelling, warehousing and batch or real-time processing - Experience with cloud platforms (Azure or AWS) and modern data platforms - Experience applying data governance, security, quality, lineage and lifecycle practices - Experience with orchestration, CI/CD, automated deployments or Infrastructure as Code - Experience building production-grade, observable and scalable data pipelines - Ability to work independently on complex, large-scale projects - Strong communication skills across technical and business audiences Requirements - Experience with data platform modernisation, cloud migration or AI/analytics use cases - Experience preparing datasets for machine learning, GenAI or advanced analytics - Experience with Kafka, Spark Structured Streaming, Delta Lake or Unity Catalog - Familiarity with Microsoft Fabric, Snowflake, Azure Synapse or AWS Redshift - Relevant Databricks, Azure or AWS certifications - Industries like financial services/banking, healthcare, manufacturing or retail Benefits - At Tieto, we believe in the power of diversity, equity, and inclusion. - We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team. - Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Company Description Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide.

Title: Privacy & Data Governance Lead Location: New York, USA Job Description: WORK OPTION: The NBA currently provides eligible employees the option of working remotely one day per week. _________________ Position Summary The Associate Vice President, Privacy & Data Governance Lead will support the advancement of the NBA’s global privacy and data governance program, reporting to the Chief Privacy & Data Governance Officer. This individual contributor role serves as a trusted advisor to senior executives and key stakeholders across the NBA, WNBA, NBA G League, Basketball Africa League, international regions, and corporate functions. The role partners across the organization to assess privacy and data governance requirements, identify and evaluate risks, and advise stakeholders on practical approaches to responsible data use. The position helps the NBA innovate responsibly by advising stakeholders on privacy, data governance, responsible use of artificial intelligence, and emerging technology requirements while supporting fan trust, regulatory compliance, and data-driven business objectives. The role requires strong business judgment, influence without authority, and the ability to translate complex privacy considerations into clear, actionable guidance. Major Responsibilities - Partner with the Chief Privacy & Data Governance Officer to advance the NBA’s privacy and data governance strategy - Advise senior executives and stakeholders across departments, regions, and affiliated leagues on privacy and data governance requirements and risk considerations, providing business-aligned recommendations - Lead cross-functional collaboration with Legal, Compliance, Technology, Data Strategy & Analytics, Cybersecurity, and business teams to identify privacy and governance risks and develop practical recommendations - Assess data practices to identify privacy, governance, and data quality risks; recommend and drive mitigation strategies - Support development and implementation of global privacy and data governance policies, frameworks, standards, and operational guidance - Lead governance and continuous improvement activities associated with the NBA’s OneTrust platform and privacy management processes - Lead Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), and Privacy by Design reviews for new technologies, products, business initiatives, and data uses - Serve as a subject matter expert on privacy considerations related to media, broadcasting, digital content, audience measurement, direct-to-consumer platforms, advertising technology, marketing technology, digital products, analytics, artificial intelligence, and emerging technologies - Advise stakeholders on the responsible use of artificial intelligence, machine learning, and automated decision-making technologies with personal, confidential, and restricted data - Monitor evolving privacy, data governance, artificial intelligence, and emerging technology requirements and assess potential impacts to NBA business activities, including developments related to the EU AI Act and other emerging global regulatory frameworks - Support alignment of privacy and governance activities with recognized frameworks and standards, including the NIST Privacy Framework and ISO/IEC 27701 - Translate policies and strategy into practical guidance, tools, and processes for stakeholders - Advise senior leaders on emerging privacy, data governance, and AI-related risks, industry trends, and leading practices to support informed decision-making and responsible innovation - Develop and deliver communications, training, and awareness initiatives to strengthen privacy and data governance capabilities across the enterprise - Serve as a key internal advisor and connector, driving alignment across teams on complex privacy, data governance, and responsible data use matters Required Education/Professional Experience - 10–15+ years of relevant experience in privacy, data governance, compliance, technology, consulting, legal, or a related field - Experience advising senior executives and leading cross-functional initiatives across complex, matrixed organizations - Experience leading privacy assessments, Privacy by Design reviews, and enterprise privacy initiatives - Demonstrated expertise supporting direct-to-consumer, advertising technology, marketing technology, digital product, or consumer data environments - Significant experience with privacy management technologies, including OneTrust - Experience applying privacy and governance frameworks, including the NIST Privacy Framework, ISO/IEC 27701, or comparable standards - Professional privacy certifications such as CIPP/US, CIPP/E, CIPM, or CIPT strongly preferred Required Skills/Knowledge Attributes - Deep knowledge of privacy, data governance, and responsible AI frameworks, controls, regulations, and best practices - Strong knowledge of global privacy and data protection requirements, including GDPR, UK GDPR, LGPD, and U.S. state privacy laws - Expertise in Privacy by Design principles, privacy risk assessment methodologies, and privacy program management - Demonstrated experience advising senior executives and stakeholders on privacy, data governance, and emerging technology risks - Strong understanding of direct-to-consumer, advertising technology, marketing technology, digital product, and consumer data ecosystems - Experience supporting privacy, data governance, or technology initiatives within media, sports, entertainment, broadcasting, streaming, digital content, or consumer-facing organizations - Experience with consent management, identity resolution, data sharing, measurement technologies, and related privacy considerations - Significant experience with OneTrust and privacy management technologies, including assessments, data mapping, consent management, and privacy operations workflows - Familiarity with recognized privacy and governance frameworks, including the NIST Privacy Framework and ISO/IEC 27701 - Understanding of artificial intelligence governance principles, emerging AI regulatory requirements, and responsible use of personal, confidential, and restricted data in AI-enabled technologies - Proven ability to influence and advise stakeholders and drive outcomes in a matrixed environment without direct authority - Strong cross-functional collaboration experience across legal, technology, analytics, marketing, and business teams - Sound business judgment with the ability to balance risk, compliance, and operational priorities - Strong analytical, problem-solving, and strategic thinking capabilities - Excellent communication skills, with the ability to translate complex concepts into clear, actionable guidance Salary Range: $240,000-$280,000 Job Posting Title: Associate Vice President Employees currently are eligible to receive an annual discretionary performance bonus, awarded at the sole discretion of the Company and subject to any terms and conditions set by the Company. Employees and/or eligible dependents may be eligible to participate in the following Company-sponsored employee benefit programs: medical; dental; vision; life/AD&D insurance; short- and long-term disability; fertility and family-forming assistance; wellbeing allowance; educational assistance; mental health coaching/therapy; tax advantaged accounts such as HSA and healthcare/dependent care FSAs; a 401(k) retirement plan; and time off benefits that include vacation, sick time, and personal days. We Consider Applicants For All Positions On The Basis Of Merit, Qualifications And Business Needs, And Without Regard To Race, Color, National Origin, Religion, Sex, Gender Identity, Age, Disability, Alienage Or Citizenship Status, Ancestry, Marital Status, Creed, Genetic Predisposition Or Carrier Status, Sexual Orientation, Veteran Status, Familial Status, Status As A Victim Of Domestic Violence Or Any Other Status Or Characteristic Protected By Applicable Federal, State, Or Local Law. The NBA is committed to providing a safe and healthy workplace. To safeguard our employees and their families, our visitors, and the broader community from COVID-19, and in consideration of recommendations from health authorities and the NBA’s own advisors, any individual working onsite in our New York and New Jersey offices must be fully vaccinated against COVID-19. The NBA will discuss accommodations for individuals who cannot be vaccinated due to a medical reason or sincerely held religious belief, practice, or observance. About the NBA The National Basketball Association (NBA) is a global sports and media organization with the mission to inspire and connect people everywhere through the power of basketball. Built around five professional sports leagues: the NBA, WNBA, NBA G League, NBA 2K League and Basketball Africa League, the NBA has established a major international presence with games and programming available in 214 countries and territories in 60 languages, and merchandise for sale in more than 200 countries and territories on all seven continents. NBA rosters at the start of the 2024-25 season featured a record-tying 125 international players from a record-tying 43 countries. NBA Digital’s assets include NBA TV, NBA.com, the NBA App and NBA League Pass. The NBA has created one of the largest social media communities in the world, with more than 2.3 billion likes and followers globally across all leagues, team and player platforms. NBA Cares, the NBA’s global social responsibility platform, partners with renowned community-based organizations around the world to address important social issues in the areas of education, inclusion, youth and family development, and health and wellness.