Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Lead Product Software Engineer - Lead Cloud Data Engineer image - Rise Careers
Job details

Lead Product Software Engineer - Lead Cloud Data Engineer

The Lead Cloud Data Engineer in Tax and Accounting innovative and fast-growing Global Audit team is responsible for designing, implementing end to end solutions in Azure Enterprise Data Lake and optimizing data pipelines, ensuring the availability, performance, scalability and security of large-scale data processing systems. This role requires deep understanding of big data technologies, data architecture, infrastructure, CI/CD and data engineering best practices. Experience with Unity Catalog is a bonus. The Lead Cloud Data Engineer will work closely with architects, leads and other stakeholders to support data driven decision making processes.Experience Required• Minimum 8+ years of experience with 3+ years as a Lead Data Engineer or related role• 5+ years of demonstrated experience in developing Big Data solutions that support business analytics and data science teams• 3-5 years of proficient Data ingestion end-to-end implementation of projects in Azure Enterprise Data Lake, Azure Functions, Databricks, Blob Storage, Cosmos DB, Azure stream analytics, Python, SQL• Extensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog• Good understanding of spark architecture with Databricks structured streaming, setting up Azure with Databricks, managing clusters in Databricks• Experienced in DevOps and deployment automations with Azure DevOps - ARM, YAML, Terraform• Strong knowledge and hands-on experience in SQL, Unix shell scripting• Ability to research latest trends and propose advanced tooling/solutions for Cloud Data Lake & Data Science platforms• Experience with business intelligence and analytics tools such as OBIEE, PowerBI or Tableau• Experience with Unity Catalog preferred• Collaborate applications teams/Business users to develop new pipelines with Cloud data migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc• Ensure data security and compliance.Roles & Responsibilities• Lead and implement design of data schemas, drive cloud data lake platform design decisions and development standards and maintain data pipelines for data ingestion, processing, and transformation in Azure• Extract, transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory, Azure Blob Storage, T-SQL, Pyspark and Azure Databricks• Drive analysis, architecture, design, governance and development of data warehouse, data lake, and business intelligence solutions• Integrate data from various sources, ensuring data quality, consistency and reliability.• Define data requirements, gather and mine large scale structured and unstructured data, and validate data using various tools in a cloud environment.• Manage and optimize Azure Enterprise data Lake for efficient data storge and processing.• Develop and optimize ETL processes using Databricks and related tools like Apache Spark• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.Benefits:A comprehensive benefits package that begins your first day of employment. Additional Information: Wolters Kluwer offers great benefits and programs to help meet your needs and balance your work and personal life, including Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available - https://www.mywolterskluwerbenefits.com/index.htmlDiversity MattersWolters Kluwer strives for an inclusive company culture in which we attract, develop, and retain diverse talent to achieve our strategy. As a global company, having a diverse workforce is of the utmost importance. We've been recognized by employees as a European Diversity Leader in the Financial Times, as one of Forbes America’s Best Employers for Diversity in 2022, 2021 and 2020 and as one of Forbes America’s Best Employers for Women in 2021, 2020, 2019 and 2018. In 2020, we placed third in the Female Board Index, and were recognized by the European Women on Boards Gender Diversity Index. Wolters Kluwer and all of our subsidiaries, divisions and customer/departments is an Equal Opportunity / Affirmative Action employer.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead Product Software Engineer - Lead Cloud Data Engineer, Wolters Kluwer

Wolters Kluwer is on the lookout for a talented Lead Cloud Data Engineer to join our innovative and growing Global Audit team in Coppell, TX. As the Lead Cloud Data Engineer, you will have the exciting opportunity to design and implement end-to-end data solutions in our Azure Enterprise Data Lake, all while optimizing data pipelines to ensure the availability, performance, scalability, and security of large-scale data processing systems. In this role, your deep understanding of big data technologies and data architecture will shine as you collaborate with architects, leads, and stakeholders to help drive data-driven decision-making. We’re looking for someone with at least 8 years of experience, including 3 years in a lead role, and a proven track record of developing Big Data solutions that support analytics and data science. Familiarity with Azure functions, Databricks, and data ingestion processes is key, but if you've got experience with Unity Catalog, even better! Your role will also involve implementing Lakehouse architecture and utilizing tools like Azure DevOps for deployment automation. If you are passionate about leveraging data for better business outcomes and ready to take on the leadership responsibilities, we would love to hear from you!

Frequently Asked Questions (FAQs) for Lead Product Software Engineer - Lead Cloud Data Engineer Role at Wolters Kluwer
What are the responsibilities of a Lead Cloud Data Engineer at Wolters Kluwer?

As a Lead Cloud Data Engineer at Wolters Kluwer, you will be responsible for designing data schemas, driving cloud data lake platform decisions, and leading the development of data pipelines for effective ingestion, processing, and transformation in Azure. Your role will also include managing the Azure Enterprise data Lake, optimizing ETL processes using Databricks, and ensuring data quality and compliance throughout projects.

Join Rise to see the full answer
What qualifications are needed to be a Lead Cloud Data Engineer at Wolters Kluwer?

To qualify for the Lead Cloud Data Engineer position at Wolters Kluwer, candidates should possess a minimum of 8 years of experience in data engineering, with at least 3 years in a lead role. Proficiency in Azure data solutions, Python, SQL, and hands-on experience with Databricks, data ingestion techniques, and DevOps practices is essential.

Join Rise to see the full answer
How does the Lead Cloud Data Engineer support data-driven decision-making at Wolters Kluwer?

At Wolters Kluwer, the Lead Cloud Data Engineer plays a critical role in supporting data-driven decision-making by developing robust data solutions and ensuring high-quality data is available for analytics. By collaborating with various stakeholders to provide reliable data, the engineer enables improved insights and informed business strategies.

Join Rise to see the full answer
What tools and technologies does a Lead Cloud Data Engineer use at Wolters Kluwer?

In the role of Lead Cloud Data Engineer, professionals at Wolters Kluwer utilize a wide array of tools and technologies, including Azure Enterprise Data Lake, Azure Functions, Databricks, and Python. Additionally, familiarity with Unity Catalog, SQL Analytics, and various business intelligence tools like Power BI or Tableau is advantageous.

Join Rise to see the full answer
What benefits does Wolters Kluwer offer to Lead Cloud Data Engineers?

Wolters Kluwer offers a comprehensive benefits package for Lead Cloud Data Engineers which includes medical, dental, and vision plans, a 401(k) plan, tuition assistance, vacation and sick time, as well as paid parental leave. Employees also enjoy commuter benefits and various programs that help balance their work and personal life.

Join Rise to see the full answer
Common Interview Questions for Lead Product Software Engineer - Lead Cloud Data Engineer
Can you describe your experience with Azure Data Lake?

In answering this question, detail your hands-on experience with Azure Data Lake, emphasizing specific projects where you've architected or optimized data storage. Discuss the data ingestion methods you've implemented and any challenges you overcame.

Join Rise to see the full answer
How do you ensure data quality during processing?

To effectively answer this question, outline the processes you implement for data validation and cleansing. Highlight any specific tools or methodologies you employ, such as Databricks or Azure Data Factory, ensuring you cover both structured and unstructured data.

Join Rise to see the full answer
What is your approach to developing ETL processes?

You should explain your systematic approach to ETL process development, including your methods for extracting data from source systems, transforming it for analysis, and loading it into Azure storage solutions. Provide examples of how you have optimized those processes in previous roles.

Join Rise to see the full answer
How do you manage and optimize data pipelines in Azure?

Discuss your strategies for managing and optimizing data pipelines, including specific tools such as Azure Databricks and Blob Storage. Mention your experience with performance monitoring and any metrics you use to ensure efficiency.

Join Rise to see the full answer
What is your experience with DevOps practices?

Highlight your background with DevOps involving deployment automation tools like Azure DevOps and Terraform. Provide examples of specific projects where you implemented CI/CD principles and discuss the impact on project delivery.

Join Rise to see the full answer
Can you explain Lakehouse architecture and its benefits?

When responding, clarify your understanding of Lakehouse architecture and how it combines data lakes and data warehouses. Discuss the specific advantages it offers in terms of analytics and data science, using your personal experience as a reference.

Join Rise to see the full answer
What role does collaboration play in your work as a Lead Cloud Data Engineer?

Describe your approach to collaboration, emphasizing your experience working with architects and business stakeholders. Discuss how you ensure clear communication and alignment on data projects.

Join Rise to see the full answer
Describe a challenging data project you led and how you overcame obstacles.

Reflect on a specific project, detailing the challenges was presented, the approach you took to address them, and the successful outcome. Make sure to showcase your leadership and problem-solving skills.

Join Rise to see the full answer
How do you stay updated with the latest trends in data technologies?

Share your methods for staying current with industry trends, such as attending conferences, following thought leaders, or engaging in online communities. Highlight how this knowledge has influenced your work.

Join Rise to see the full answer
What business intelligence tools do you have experience with?

List the business intelligence tools you are proficient in, such as Power BI or Tableau. Discuss specific projects where you have used these tools to drive insights and improve data visibility for stakeholders.

Join Rise to see the full answer

Wolters Kluwer is dedicated to the investment of everyday success of the individuals and organizations we serve in over 180 countries. Every day, our customers face decisive moments that impact the lives of millions of people and shape tomorrow’s ...

60 jobs
MATCH
Calculating your matching score...
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 22, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!