About Annalect

Annalect is the Data & Technology arm of Omnicom Media Group

Annalect’s 4,000+ innovators leverage data and technology to help clients across Omnicom build relationships that matter — whether that means fostering consumers’ trust in brands, building new experiences, or delivering advanced analytics where it’s most needed. Annalect is the driving force behind Omni, Omnicom’s unique open operating system, which works hand-in-hand with clients’ and partners’ data and tools, to orchestrate better marketing outcomes.

Annalect’s unique approach to data and technology – one that relies on transparency, neutrality, and interoperability – allows us to deliver purpose-built and scalable solutions that make data actionable. Our advanced teams of product leaders, data scientists, consultants, and engineers enable us to meet the business goals of our internal and external clients.

Team Overview

The Annalect Engineering team is an engaged and innovative group of technologists that includes backend, frontend, full-stack, and data engineers. It is comprised of team members who are highly collaborative and committed to a culture of work/life balance and continual learning and development.

Position Overview

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 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.

Key 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 worksteams.
• 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 stakeholder 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 standsards. Ensure we have inituitive documentations for staekeholders and clients to request data and for the engineerting to supply this data.
  
  

Required Skills And Qualifications

• 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
  
  

Perks of working at Annalect

• Culture! We have an incredibly fun, collaborative environment that encourages engagement and work/life balance
• Generous PTO that includes vacation days, personal days, a fantastic Summer Friday program and extended time off around the holiday season.
• As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a “startup” - we move fast, break things, and innovate.
  
  

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: 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, and STD/LTD insurance benefits.

Compensation Range

$140,000—$200,000 USD

This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.

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