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We Are:The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI backed by a $3B investment and commitment to our people to do industry-defining work.With over 45,000 professionals dedicated to Data & AI, Accentures Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.You are:As part of our Data & AI group, you will lead technology innovation for our clients through robust delivery of world-class solutions. There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.The work:You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration. Come grow your career in Technology at Accenture!Willing to travel up to 100%What you need:+ Minimum of 4 years of experience in Databricks engineering solutions on one of the Cloud platforms (Azure, AWS or GCP)+ Minimum of 4 years of experience in Data Architecture and delivery experience on one of the Cloud platforms (Azure, AWS or GCP)+ Minimum of 7 years of experience years of experience in Big Data/Hadoop, database and data warehouse architecture and delivery+ Bachelors degree or equivalent work experience (minimum of 12 years), or an Associate degree with a minimum of 6 years of equivalent work experienceBonus points if you have:+ Certifications: Lakehouse Fundamentals, Developer Foundations Capstone, Developer Essentials Capstone, etc.+ Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog+ Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML)+ Cloud data migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc.+ Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Qlik/Attunity, GoldenGate, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.+ Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, auto-scaling is a plus+ Experience in data governance fields as lineage, quality, catalog etc.+ Multi-cloud experience+ Experience building Generative AI accelerators is a plusCompensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)Role LocationCalifornia $73,000 to $220,400Colorado $73,000 to $190,400District of Columbia $77,700 to $202,700New York $67,600 to $220,400Maryland $67,600 to $176,300Washington $77,700 to $202,700#LI-MP#LI-NAWhat We BelieveWe have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)Equal Employment Opportunity StatementAccenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Accenture is committed to providing veteran employment opportunities to our service men and women.For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) .Requesting An AccommodationAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter.Other Employment StatementsApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
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What You Should Know About Databricks Data Architect, Accenture

Joining Accenture as a Databricks Data Architect in beautiful Detroit, MI means stepping into a transformative role right at the heart of the Data & AI decade. You'll be leading innovation for clients, helping them navigate complex business challenges with cutting-edge data solutions. Picture yourself collaborating with a dynamic team, leveraging advanced technologies to change the way businesses operate. No two days will ever be the same, and that’s what makes this opportunity so exciting! With your extensive experience in Databricks engineering and cloud platforms like Azure, AWS, or GCP, you’ll have the chance to fill roles that encompass everything from Data Management to Data Governance. And with Accenture's commitment to fostering an inclusive and diverse culture, your ideas and talents will be nurtured and celebrated. As a part of this journey, you might find yourself traveling to various client sites, ensuring you’re always on the forefront of technology trends. This is not just a job; it’s a chance to grow your career in one of the most innovative environments. If you’re ready to make a real difference in the world of technology, we can’t wait to see what you bring to our future at Accenture!

Frequently Asked Questions (FAQs) for Databricks Data Architect Role at Accenture
What are the responsibilities of a Databricks Data Architect at Accenture?

As a Databricks Data Architect at Accenture, your primary responsibility will be to lead the design and delivery of innovative data solutions that leverage Databricks and cloud platforms. You will collaborate with a team of data experts to address complex business issues, focusing on areas such as Data Management, Data Migration, and Data Governance.

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What qualifications are needed for the Databricks Data Architect position at Accenture?

To qualify for the Databricks Data Architect position at Accenture, candidates should have at least 4 years of experience in Databricks solutions on cloud platforms (Azure, AWS, or GCP) and over 7 years in Big Data architecture. A bachelor’s degree or equivalent work experience is essential for this role.

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What cloud platforms do Databricks Data Architects at Accenture work with?

Databricks Data Architects at Accenture primarily work with major cloud platforms such as Azure, AWS, and GCP. You will utilize these platforms to implement and optimize data solutions that empower clients to leverage their data effectively.

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Is travel required for the Databricks Data Architect position at Accenture?

Yes, the Databricks Data Architect role at Accenture requires a willingness to travel, potentially up to 100%. This travel allows you to engage directly with clients and deliver tailored data solutions on-site, enhancing your impact.

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How does Accenture support employee growth for Databricks Data Architects?

Accenture emphasizes continuous professional development for Databricks Data Architects through an inclusive culture that values diversity and encourages learning. Employees have access to extensive training resources, collaborative projects, and mentorship opportunities to nurture their careers.

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Common Interview Questions for Databricks Data Architect
Can you describe your experience with Databricks on cloud platforms?

In your response, highlight specific projects where you've implemented Databricks solutions. Discuss your familiarity with cloud platforms like Azure, AWS, or GCP, detailing any significant outcomes from your initiatives.

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What role does Data Governance play in your architecture design?

Explain the importance of Data Governance in ensuring data quality, privacy, and compliance. Share examples of how you've built governance frameworks in previous projects to manage data effectively.

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How do you approach Data Migration projects?

Discuss your methodology for Data Migration, including planning, execution, and validation. Before the interview, consider a successful migration example you've led that showcases your strategic thinking.

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What do you see as the biggest challenge facing data architects today?

Reflect on current trends impacting data architecture, such as data security, scalability, and real-time processing. Offering insights into how you would address these challenges can set you apart.

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Can you explain the Lakehouse architecture and its advantages?

Prepare to discuss Lakehouse architecture's benefits, such as unifying data lakes and data warehouses. Provide a real-world application where this architecture streamlined operations or improved performance.

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How do you ensure that data solutions align with business objectives?

Talk about your experience in collaborating with stakeholders to understand business goals. Illustrate this by describing specific projects where data initiatives directly contributed to achieving business outcomes.

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What tools do you prefer for data ingestion and processing?

Highlight your experience with data ingestion tools like Kafka or Azure Data Factory. Share instances where these tools were key in delivering timely and reliable data for analytics.

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How do you keep up with advancements in data architecture?

Demonstrate your commitment to professional growth by mentioning resources you utilize, such as industry publications, webinars, or networking events. Share recent learnings and how they've impacted your approach.

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Describe a challenging data project you've worked on and how you overcame obstacles.

Use the STAR method (Situation, Task, Action, Result) to articulate a specific project. Focus on the obstacles you faced and the innovative solutions you implemented to overcome them.

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What best practices do you follow in data architecture design?

Discuss your design principles, such as scalability, maintainability, and performance optimization. Describe how you've applied these principles in previous roles to ensure successful data solutions.

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Our 743,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners an...

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Full-time, on-site
DATE POSTED
December 14, 2024

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