NY – NEW YORK
Job Description
We are:
Accenture Applied Intelligence, the people who love using data to tell a story. We’re also the World’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds.
You Are:
The Data Architect Manager is responsible for delivering Data On Cloud projects. The ideal candidate would also be responsible for developing and delivering cloud solutions to meet todays high demand in areas such as AIML, IoT, advanced analytics, open source, enterprise collaboration, microservices, serverless, etc. The Data Architect Manager is a highly performant architect responsible for delivering Cloud based Big Data and Analytical Solutions to our clients. Responsibilities include evangelizing data on cloud solutions with customers, leading Business and IT stakeholders through designing a robust, secure and optimized cloud architectures and ability to be hands-on delivering the target solution. This role will work with customers and leading internal data engineers in delivering big data solutions on cloud. Using public cloud technologies, our Technical Architect professionals implement state of the art, scalable, high performance Data On Cloud solutions that meet the need of todays corporate and emerging digital applications.
The Work:
- Work with Sales and Bus Dev teams in providing Cloud Technical Architecture expertise while pursuing client opportunities.
- Ability to build Azure, AWS, or GCP cloud architectures and provide prescriptive guidance across network, storage, Big Data Platform Services, serverless architectures, Hadoop ecosystem, vendor products, RDBMS & 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, AWS, or GCP platform.
- Conduct full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios.
- Assess the 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.
- Lead the discussions and early analysis of the cloud concepts as it relates to Client’s Journey to Cloud methodology so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to proof-of-concepts all the way to production delivery with the full support of the appropriate teams.
- Compare solution alternatives across both technical and business parameters which support the define cost and service requirements.
- 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.
- Prepare and deliver product messaging in an effort to highlight value proposition and unique differentiators.
- Manage small teams of deliver engineers successfully delivering work efforts (if in an independent contributor role) at a client or within Accenture.
Qualifications
Here’s what you need:
- Bachelors or higher degree in Computer Science or a related discipline
- Minimum of 5 years of experience in data warehouse architecture and delivery
- Minimum of 5 years experience with ETL tools such as Talend, Informatica IICS, ADF, Glue on Cloud platforms
- Minimum of 5 years technical solutions implementation, architecture design, evaluation and investigation in a cloud environment (specifically AWS, Azure and/or GCP)
Bonus points if:
- Consulting or client service delivery experience
- Strong in Power BI, Java, C##, Spark, PySpark, Unix shell/Perl scripting
- 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.
- Proven ability to build, manage and foster a team-oriented environment



