Omnicom Media Group-posted 8 months ago
$140,000 - $200,000/Yr
Full-time • Mid Level
Dallas, TX
5,001-10,000 employees
Professional, Scientific, and Technical Services

Annalect is currently seeking an associate director of data engineering to join our technology team remotely. In this role, you will be responsible for extending our data mesh capabilities to ingest client media data and to deliver this data to our clients at large scale. You will lead the design and implementation of strategies to seamlessly integrate data from our mesh into diverse client environments. You will collaborate with interdisciplinary teams to understand client needs and develop creative solutions leveraging our core data mesh architecture. You will represent the data engineering team in client engagements, explaining how our data mesh works and how it can address their specific challenges. You will be accountable for the scaled enterprise delivery and governance of data products for the clients and stakeholders.

  • Extend data supply from our data mesh into custom client environments through modern data stack components.
  • Represent data engineering for various custom requests and client interactions.
  • Work with various stakeholders to get the requirements for desired data products and guide the work of data engineers to create the custom data products.
  • Oversee the development of various data sharing mechanisms and processes.
  • Ensure the ingest of client data, processes that govern ingest and systems that make accessible large amounts of data of our clients.
  • Lead the documentation of data governance standards.
  • 7+ years of solid coding experience.
  • Strong expertise with working with data products at scale and large enterprise datasets.
  • Familiarity with modern data stack: Data transformation tools like (dbt, Databricks), data ingestion (Fivetran, Airbyte) and data sharing (Snowflake, Starburst).
  • Familiarity with creating scalable data sharing solutions through data products (Starburst, DBT) and data catalogues (Data.world, Secoda, Alation).
  • Familiarity with working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery).
  • Experience with data storage strategies (S3, Partitioning, Efficient Querying).
  • Strategic understanding of contemporary data architectures (Data mesh, data fabric).
  • Ability to write high-quality documentation and draw architecture diagrams of the software.
  • Make client-facing presentations to explain complex data engineering in accessible terms.
  • Health insurance
  • Vision insurance
  • Dental insurance
  • 401(k)
  • Healthcare Flexible Spending Account
  • Dependent Care Flexible Spending Account
  • Vacation days
  • Sick days
  • Personal days
  • Paid parental leave
  • Paid medical leave
  • STD/LTD insurance benefits
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