Principal Data Engineering Architect- Only Locals

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

BigData
BigQuery
Snowflake
ETL
DataEngineer
Kafka
Spark
Architect

Job Details

Job Description:

Our client is looking for an experienced and mission-driven Senior Principal to join their Platform Data Engineering team. The role will report directly to the VP of Data Engineering and join the company's transformative IT team.

Essential Duties & Responsibilities

  • Architects develop and implement Data Engineering strategies to support organizational initiatives.
  • Leads the architecture function of the Data Engineering (Pipeline) team
  • Lead teams of data & analytics engineers that build, manage, and support enterprise data warehouse and analytics technology infrastructure, tools, and products
  • Inform and influence the overall Enterprise Data technology vision.
  • Accelerate building and improving capabilities centered around data and analytics, such as foundational data assets, data engineering pipelines, data platforms, and products.
  • Build cross-functional relationships with Business product owners, data scientists, and analysts to understand product needs and delivery expectations.
  • Oversee compliance reviews, including partnering with Information Security and Privacy teams on policy content, creation, maintenance, and awareness to ensure our customer data is secure and protected from unauthorized access.
  • Stay informed on strategic & emerging trends in the Data and Analytics world, lead proofs of concept, and continuously drive innovation across the data and analytics teams.

Education & Experience

  • 12+ years of Tech Industry experience and prior experience in architecting and implementing data strategies
  • 3+ years of architecture experience
  • Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc.
  • Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.)
  • Experience with BigQuery and Snowflake
  • Experience with Confluent Kafka real-time data processing and API platforms.
  • Experience in using Python, Java, and/or other data engineering languages
  • Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms, Data Streaming technologies, Cloud Azure, and Google Cloud Platform platforms
  • Strong understanding of Data Architecture and, most importantly, a deep understanding of the overall Data in an enterprise andthe ability to understand Data in the context of Business Goals
  • Expert/Advanced level experience with ETL technologies, Data Streaming using integration patterns like Kafka, Spark Streaming
  • Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
  • Experience in building from the ground up a modern next-generation data warehouse platform.

Regards,

Raj Dakshinapu | Recruiter, Dotcom Team LLC

Phone:

Web: | Email:

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