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Technical Lead I, Data Engineering

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.KPMG is currently seeking a Technical Lead I, Data Engineering to join our Digital Nexus technology organization. This is a remote work opportunity.Responsibilities:• Accountable for managing and supporting projects as well as tasks of various sizes across multiple applications/technologies and related process• Transform architectural and business concepts and requirements into robust technology designs and engineering configurations to deliver sustainable solutions for data management and analytics areas• Design, Build and maintain data pipelines with scalable transformations which ingest data to the Azure Data Lake• Facilitate and oversee the technical design and development of technology solutions through the entire project lifecycle to ensure business needs are met• Collaborate with developers, architect, analyst and develop best technical design and propose solution approaches; serve as a conduit between the business stakeholders and platform engineering team while building relationships and buy-in from critical internal and external domain stakeholders• Contribute to the creation of standardized process and best practices; keep abreast of latest trends in technology, industry and corresponding business domainQualifications:• Minimum five years of recent experience in developing and implementing large technology projects in complex organization with multiple stakeholders; MS Azure experience, including Databricks and Azure Data Factory is required• Bachelor's degree from an accredited college or university is preferred• Deep understanding of the engineering, development, implementation and management of information technology solutions, data tools and platforms; strong knowledge of data management methodologies such as data architecture, data governance, data modeling, BI/Analytics, and more• Experience with data manipulation and Extract, Transform, Load (ETL) using common languages like SQL and python; demonstrated experience across the systems development life cycle in all project phases; plan, initiate, analyze, design, build, test, implement, operate• Knowledge of Agile deliveries and project management methodologies; strong analytical, problem-solving, and decision-making skills; ability to identify patterns and generate ideas• Excellent verbal and written communication skills; fit with KPMG culture and company values such as integrity, excellence, courage, together, for better, has a “can-do” attitude, and positive viewpointKPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at “Benefits & How We Work”.Follow this link to obtain salary ranges by city outside of CA:https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=6701_9_24KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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What You Should Know About Technical Lead I, Data Engineering, KPMG US

Looking to elevate your career in data engineering? KPMG is excited to offer a fantastic opportunity for a Technical Lead I, Data Engineering, right here in sunny Miami, FL! At KPMG, we pride ourselves on being a great place to work—one that champions individual development, inclusivity, and innovative excellence. As a Technical Lead, you will play a pivotal role in transforming architectural and business requirements into robust technology designs that will create sustainable solutions in the data management and analytics space. Your responsibilities will involve supervising various projects across multiple applications and technologies, all while collaborating closely with developers, architects, and analysts to deliver state-of-the-art solutions. With your expertise, you’ll design and maintain scalable data pipelines to the Azure Data Lake, ensuring the accurate and efficient processing of data. A strong understanding of data methodologies, tools such as Databricks and Azure Data Factory, and excellent communication skills are essential for success in this role. Plus, your creative ideas and problem-solving abilities will help shape the future of our technology solutions. Join us in driving impactful results that matter to our clients while enjoying the benefits of a fulfilling work environment. If you're passionate about data and eager to grow with KPMG, we want to hear from you!

Frequently Asked Questions (FAQs) for Technical Lead I, Data Engineering Role at KPMG US
What are the responsibilities of a Technical Lead I, Data Engineering at KPMG?

As a Technical Lead I, Data Engineering at KPMG, your primary responsibilities include managing various projects and tasks across multiple technologies. You will transform business requirements into effective technology designs, oversee the technical development throughout project lifecycles, and maintain scalable data pipelines to the Azure Data Lake, ensuring robust data management and analytics.

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What qualifications do I need to apply for the Technical Lead I, Data Engineering position at KPMG?

To be considered for the Technical Lead I, Data Engineering position at KPMG, candidates should have a minimum of five years of recent experience in implementing large technology projects. Proficiency in MS Azure, especially in Databricks and Azure Data Factory, is required. A Bachelor's degree in a relevant field is preferred, along with strong knowledge of data management methodologies and project management skills.

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What technology tools and methodologies should a Technical Lead I, Data Engineering at KPMG be familiar with?

A Technical Lead I, Data Engineering at KPMG should have a deep understanding of data tools and platforms, particularly regarding data architecture, data governance, and BI/Analytics. Familiarity with programming languages like SQL and Python for ETL processes, as well as Agile methodologies for project management, are crucial for success in this position.

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What kind of work environment can I expect as a Technical Lead I, Data Engineering at KPMG?

KPMG offers a vibrant and inclusive work environment. As a Technical Lead I, Data Engineering, you will work remotely, allowing flexibility while engaging with a team that emphasizes personal development and innovation. KPMG's culture values collaboration, integrity, and excellence, contributing to a fulfilling work experience.

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How does KPMG support the career growth of a Technical Lead I, Data Engineering?

KPMG is committed to the personal and professional development of its employees. As a Technical Lead I, Data Engineering, you will have access to various resources for ongoing training and growth opportunities. KPMG encourages skill advancement, fosters a culture of mentorship, and supports career aspirations to help you thrive in the organization.

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Common Interview Questions for Technical Lead I, Data Engineering
Can you explain your experience with MS Azure and how it relates to the Technical Lead I, Data Engineering role?

In your response, elaborate on specific projects where you utilized MS Azure services, particularly Databricks and Azure Data Factory. Highlight any data pipeline infrastructures you designed, emphasizing scalability and efficiency, as well as your role in leading these initiatives.

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What methodologies do you use for effective project management in data engineering?

Discuss your proficiency with Agile methodologies and how you've applied them in past projects. Include examples of how you facilitated sprints, collaborated with cross-functional teams, and ensured timely delivery of data solutions while adapting to changing requirements.

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Describe a challenging data engineering problem you faced and how you resolved it.

Select a specific problem that involved complex data management or integration. Explain the steps you took to analyze the issue, the strategies you employed to resolve it, and the positive outcomes that resulted from your approach. Highlight the skills you utilized throughout.

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How do you ensure the quality and integrity of data in your projects?

Discuss your experience with data governance practices and any tools you use to validate data integrity. Explain how you monitor data quality during ETL processes, as well as your strategies for addressing any discrepancies or data issues that arise.

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What role do you think communication plays in a Technical Lead position?

Emphasize the importance of communication skills in bridging technical and non-technical stakeholders. Provide examples of how you’ve successfully facilitated discussions between developers and business leaders, ensuring clarity and fostering collaboration throughout project lifecycles.

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Can you describe your experience with data modeling and how it applies to this role?

Share specific examples of data models you've developed, explaining the context, your approach, and the tools you used. Discuss how your knowledge of data modeling equips you to design efficient data storage solutions and support analytical processes in your projects.

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How do you stay current with the latest trends in data engineering technology?

Discuss your practice of following industry blogs, participating in webinars, or engaging in professional networks. Mention relevant certifications or courses you’ve completed recently, demonstrating your commitment to continuous learning in the field.

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What strategies do you use to mentor junior team members?

Share your approach to mentoring, including how you assess the strengths and weaknesses of junior members, provide constructive feedback, and create learning opportunities. Highlight specific successes you've had helping others grow in their data engineering skills.

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How do you prioritize tasks in a fast-paced data engineering environment?

Discuss your techniques for task prioritization, such as using project management tools, defining key performance indicators, and aligning project goals with business objectives. Emphasize your ability to stay organized and responsive to urgent needs.

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What is your approach to designing data pipelines?

Articulate your methodology for designing data pipelines, focusing on considerations such as scalability, efficiency, and reliability. Provide examples of successful pipeline designs you've implemented, including any performance metrics you monitored or optimized.

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KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. With 90 offices and more than 29,000 employees and partners throughout the US, we’re leading the industry in new ...

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Full-time, remote
DATE POSTED
December 20, 2024

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