Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
We are seeking a highly skilled and experienced Senior Data Platform Engineer with expertise in Data Engineering, Database Modeling, and modern Cloud Data Platforms. They will work with Databricks, Snowflake, and Azure Data Services, and will play a key role in designing, building, and optimizing our data infrastructure and pipelines for scalable and high-performance data analytics.
Key Responsibilities
Design and implement robust, scalable, and efficient
data models
and
pipelines
across cloud-based platforms.
Develop, optimize, and maintain
ETL/ELT pipelines
using
Azure Data Factory
and
Databricks
.
Build and orchestrate
Databricks Notebooks and Jobs
using
PySpark
,
Spark SQL
, or
Scala Spark
.
Leverage
Snowflake
features such as
SnowPipe
,
external tables
, and
Iceberg concepts
to implement efficient data ingestion and processing.
Develop and manage
data models
,
data warehousing solutions
, and
data integration architectures
in
Snowflake
.
Implement
Azure Functions
,
Azure WebApps
, and
Application Insights
to support microservices and monitor distributed systems.
Monitor and optimize
cloud performance and cost
using
Azure Monitor
and
cost management tools
.
Configure and manage
Databricks clusters
, including
autoscaling
,
Photon acceleration
, and
job orchestration
.
Collaborate with cross-functional teams to support data-driven decision-making and analytics use cases.
Ensure data quality, governance, and security across the data lifecycle