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Annalect · 2 hours ago

Associate Director, Data Engineering

New York

Full-time

Hybrid

Senior Level, Lead/Staff, Director/Executive

$140K/yr - $200K/yr

7+ years exp

Annalect is the Data & Technology arm of Omnicom Media Group, focused on leveraging data and technology to enhance client relationships. The Associate Director of Data Engineering will extend data mesh capabilities, collaborate with interdisciplinary teams, and represent the data engineering team in client engagements, ensuring scalable delivery and governance of data products.

AdvertisingConsultingMarketing

Responsibilities

Extend data supply from our data mesh into custom client environments through modern data stack components

Work with clients on architecture and creative solutions to do cross-environment secure data shares and data workstreams

Represent data engineering for various custom requests and client interactions

Explain how data mesh works and its benefits to clients and internal stakeholders

Work with various stakeholders to get the requirements for desired data products and then guide the work of data engineers to create the custom data products

Create supporting documentation to scale these processes across multiple clients

Oversee the development of various data sharing mechanisms and processes

Guide development of data sharing layers (APIs, workbenches, etc.) for client access

Ensure the ingest of client data, processes that govern ingest and systems that make accessible large amounts of data of our clients

Work with Data QA to ensure data accuracy and consistency

Work with security teams to ensure correct data usage

Lead the documentation of data governance standards

Ensure we have intuitive documentations for stakeholders and clients to request data and for the engineering to supply this data

Qualification

Data engineeringData mesh architectureData transformation toolsData ingestion toolsData sharing solutionsSQL databasesClient-facing presentationsHigh-quality documentationCollaboration

Required

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 Quering)

Strategic understanding of contemporary data architectures (Data mesh, data fabric)

Ability to write high-quality documentation and draw architecture diagrams of the software and make client-facing presentations to explain complex data engineering in accessible terms