Enterprise Architect


Dallas | Texas


Full Remote

Position type


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 Enterprise Architecture & Data Engineering and join the company’s transformative IT team. You will be responsible for developing and mentoring a highly motivated group of data engineers covering multiple disciplines, refining the company’s transformative systems to meet its customer’s needs, and contributing to the strategic direction of the business.

Essential Duties & Responsibilities

  • Architects develop and implement Data Engineering strategies to support organizational initiatives.
  • Leads the architecture function of the Data Engineering (Pipeline) team
  • Provides leadership and mentorship to data Engineering staff.
  • 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 have 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 Bigquey 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 and Data Streaming technologies, Cloud Azure and GCP platforms
  • Strong understanding of Data Architecture and, most importantly, deep understanding of the overall Data in an enterprise and 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

Not the right fit?

Register with us and sign up for job alerts.

Ready to take the next step as

Enterprise Architect?