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People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/ or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an ‘Appreciating Business Asset.’
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today’s 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 Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
The Azure Technical Architect Delivery is responsible for delivering Data On Cloud projects for Azure based deals. The ideal candidate would also be responsible for developing and delivering Azure cloud solutions to meet todays high demand in areas such as AIML, IoT, advanced analytics, open source, enterprise collaboration, microservices, serverless, etc. The Azure Data Engineer is a highly performant engineer responsible for delivering Cloud based Big Data and Analytical Solutions at our clients. Responsibilities include evangelizing data on cloud solutions with customers, leading Business and IT stakeholders through designing a robust, secure and optimized Azure architectures and ability to be hands-on delivering the target solution. This role will work with customers and leading internal engineering teams in delivering big data soltuions on cloud. Using Azure public cloud technologies, our Data Engineer professionals implement state of the art, scalable, high performance Data On Cloud solutions that meet the need of todays corporate and emerging digital applications
Role & Responsibilities:
- Provide subject matter expertise and hands on delivery of data capture, curation and consumption pipelines on Azure and Hadoop
- Ability to build cloud data solutions and provide domain perspective on storage, big data platform services, serverless architectures, hadoop ecosystem, vendor products, RDBMS, DW/DM, NoSQL databases and security.
- Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
- Conduct full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios.
- Build full technology stack of services required including PaaS (Platform as-a-service), IaaS (Infrastructure as-a-service), SaaS (software as-a-service), operations, management and automation.
- Apply Accenture methodology, Accenture reusable assets, and previous work experience to delivery consistently high-quality work.
- Stay educated on new and emerging technologies/patterns/methodologies and market offerings that may be of interest to our clients.
- Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems.
- Understand the strategic direction set by senior management as it relates to team goals.
- Use considerable judgment to define solution and seeks guidance on complex problems.
- Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture. Establish methods and procedures
on new assignments with guidance.
- Manage small teams of deliver engineers successfully delivering work efforts
(if in an independent contributor role) at a client or within Accenture.
- Extensive travel may be required
- At least 5 years of consulting or client service delivery experience on Azure
- At least 5 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions
- Extensive experience providing practical direction within the Azure Native and Hadoop
- Minimum of 5 years of hands-on experience in Azure and Big Data technologies such as Powershell, C#, Java, Node.js, Python, SQL, ADLS/Blob, Spark/SparkSQL, Hive/MR, Pig, Oozie and streaming technologies such as Kafka, EventHub, NiFI etc.
- Extensive hands-on experience implementing data migration and data processing using Azure services: Networking, Windows/Linux virtual machines, Container, Storage, ELB, AutoScaling, Azure Functions, Serverless Architecture, ARM Templates, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
- Cloud migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc.
- 5+ years of hands on experience in programming languages such as Java, c#, node.js, python, pyspark, spark, SQL, Unix shell/Perl scripting etc.
- Minimum of 5 years of RDBMS experience
- Experience in using Hadoop File Formats and compression techniques
- Experience working with Developer tools such as Visual Studio, GitLabs, Jenkins, etc.
- Experience with private and public cloud architectures, pros/cons, and migration considerations.
- Bachelors or higher degree in Computer Science or a related discipline.
Candidate Must Have Completed The Following Certifications
- MCSA Cloud Platform (Azure) Training & Certification
- MCSE Cloud Platform & Infratsructiure Training & Certification
- MCSD Azure Solutions Architect Training & Certification
- DevOps on an Azure platform
- Experience developing and deploying ETL solutions on Azure
- IoT, event-driven, microservices, containers/Kubernetes in the cloud
- Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
- Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
- Multi-cloud experience a plus - Azure, AWS, Google
Professional Skill Requirements
- Proven ability to build, manage and foster a team-oriented environment
- Proven ability to work creatively and analytically in a problem-solving environment
- Desire to work in an information systems environment
- Excellent communication (written and oral) and interpersonal skills
- Excellent leadership and management skills
- Excellent organizational, multi-tasking, and time-management skills
- Proven ability to work independently
All of our professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants 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 and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
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