Data Solutions Specialist

Accenture PLC; Washington (District of Columbia); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Accenture Data Solutions Specialist in Washington, DC, leads the stand‑up of data services and streaming components, building ingestion and transformation pipelines for curated datasets. You will implement data quality rules, register metadata and lineage, and enable analysts to access the data in a secure, scalable platform.

The role requires communicating complex concepts to stakeholders across the US and beyond, with a hybrid work arrangement.

Qualifications

• Minimum 5 years of experience in designing and maintaining data pipelines or data transformation.
• Strong experience with medallion data modelling and data platforms.

Responsibilities

• Understand customers' core business objectives and build end-to-end data-centric solutions.
• Collaborate with business systems analyst to understand requirements and optimize data pipeline performance.
• Build solutions leveraging big data and data management tools to meet project needs.
• Write clean, well-documented code and maintain high quality with low risk.
• Partner with project manager and tech leads to provide status updates and unblock blockers.
• Role is Hybrid.

Skills

Data pipelines

Data modeling

Streaming architecture

SQL/data warehousing

English communication

Education

Bachelor's degree in computer science or related field

Tools

Spark

Kafka

Presto

Hive

Cassandra

Azure

AWS

GCP

Job description

Data Solutions Specialist

Accenture

Data Solutions Specialist

Data Eng, Mgmt & Governance Team Lead/Consultant | Mid-Level | Full time

We Are:
Accenture AI & Data, the people who love using data to tell a story. We’re also the world’s largest team of data scientists 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? Read on to learn more about this role and who we are looking for.

You Are:
As a Data Migration/ Modernization Specialist, you will stand up the data services and streaming components of the platform and prove that data can be ingested, processed and consumed within a strictly isolated network. You will deploy and configure the database, streaming and processing components, and build the ingestion and transformation pipelines that carry a priority data source through to curated datasets fit for analytical consumption. You will implement data quality validation, register metadata and lineage in the catalogue, and enable analyst and data science access to the curated data. You will collaborate with the Platform / DevOps Consultants so that data components are deployed through the same infrastructure-as-code and pipeline discipline as the rest of the platform, and with the Lead Enterprise Architect on data modelling and ontology for the priority domain. In this role, you are expected to be a subject matter expert in your discipline, work independently against a defined architecture, and contribute to team decisions within your area of responsibility. Advanced proficiency in Data Architecture and Pipeline Implementation is required. Advanced proficiency in Streaming Data Architecture is recommended. Deploy and configure the data services and streaming components of the platform. Build scheduled and event-driven ingestion pipelines, including change data capture, where required. Develop transformation logic and business rules to curate raw data into consumable datasets. Implement data quality rules and automated validation across the pipeline Establish metadata, lineage and access registration.

You know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. Your ability to communicate technical concepts to both technical and non-technical stakeholders make you an invaluable asset to any project.

What You’ll Do:

• Understand our customers' core business objectives and build end-to-end data centric solutions to address them
• Collaborate with the business systems analyst, to understand business requirements, and optimize data pipeline performance
• Build solutions leveraging big data and data management tools to meet projects’ requirements
• Construct code with good coding standard and practices to ensure high quality and minimum risks
• Closely work with project manager and technical leads to provide regular status reporting and support them to identify blockers for quick resolution
• Role is Hybrid

What You Need:

• Minimum 5 years of experience in designing and maintaining data pipelines, or data transformation, medallion layer based solutions and data modelling.
• Experience as a data engineer in solutioning and building scalable data platforms.
• Experience with 1 of the leading cloud service providers (Azure, AWS, Google, Oracle, Informatica) or experience with open-source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.).
• Experience with 2 of 3 - Java, Scala, and Python programming languages
• A bachelor's degree or completion of a college program in computer science or a related field.
• English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Bonus Points

• Production implementation experience for all qualifications listed
• Production experience in building real-time analytics applications
• Experience in both batch and stream processing technologies
• Machine learning experience with Spark or similar
• Certified Data Engineer or Data Solution Architect in 1 or more Cloud Technologies (AWS, GCP, Azure)
• Ability to manage numerous requests concurrently and be able to prioritize and deliver
• Eligibility for Secret Clearance Preferred

#LI-NA-FY25
Compensation 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, based on full-time employment, for roles that may be hired as set forth below. The recruiting efforts for this position are intended to fill a brand new position. The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.

Role Location Annual Salary Range
British Columbia/Ontario/New Brunswick $75,400 to $125,400

Requesting an Accommodation

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