Director of Data Architecture – Media / Entertainment Industry

This Jobot Job is hosted by Ashley Elm

Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.

Salary $235,000 – $280,000 per year

A Bit About Us

Our organization is growing by leaps and bounds and are looking for a Director, Data Architecture to join our team. As part of one of the largest media/entertainment companies in the world, we have been delivering premium content, in depth analysis, and culturally relevant material for over 50 years!

Why join us?

A great fit if

• You are a Data leader that can define and own the data strategy, architecture and management for the company
• Have a strong desire to empower analytics teams with analytics-ready data models and promote self serve data/analytics culture in the company
• Have solid Digital media experience with background in defining metrics/KPIs and instrumenting data collection from various digital and mobile analytics tools such as Adobe Analytics (Omniture, SiteCatalyst), Kochava, mParticle, Braze, Firebase, Google Ads, New Relic, Mux etc to Data

Warehouses

• Have an open/growth mindset
• You are outcome oriented, energized with collaboration, encouraged by constructive criticism
• You are a supportive leader that firmly believes in helping others succeed
• A great team player and leader that can build positive relationships/environment that can take the

team forward

Job Details

Qualifications

• Bachelor’s or above in Computer Science or related software engineering field
• 10+years of data management consulting or industry experience in driving Data Strategy and

Architecture, Data Engineering, Data Catalogs and Lineage, Data Modeling, Data Governance, Data

Quality and Master Data Management

• Experience in architecting, designing and building (and/or migrating) scalable and sustainable data

driven solutions in a robust modern data stack on cloud technologies AWS, GCP, Azure etc.

• Extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development
• Data modeling experience working with various types of data models (RDBMS, NoSQL, Graph,

Columnar, Document)

• Experience in implementation and performance tuning MPP databases (Snowflake, Redshift, EMR,

Databricks)

• Experience leading and managing data delivery project teams through all phases of the project

lifecycle from scoping and planning, requirements gathering, design, development, testing, and go

live

• Knowledge of Data Governance and Data Privacy concepts and regulations – GDPR
• Experience with Big Data tools; Hadoop, Spark, Kafka, Hive etc
• Experience with tools like Airflow and data storage formats such as JSON, Parquet, Avro etc
• Proficiency with the AWS cloud services EC2, EMR, RDS, Lambda, S3, Redshift (spectrum) etc
• Programming Languages Java, Python, Shell, PHP, Perl, Scala
• Experience with Scrum/Kanban desired
• Experience with migrating to Snowflake from Redshift – highly desired
• Experience integrating mParticle with Redshfit/Snowflake valued
• Outstanding verbal and written communication
• Outstanding presenting skills to both technical and executive audiences whether impromptu on a

whiteboard or using presentations and demos.

Responsibilities

In this role, you will

• Define the Data Strategy, Architecture and Roadmaps for our Data platforms to effectively support

the business strategy

• Empower Analytics team with a flexible and sustainable data platform and Analytics Ready Data

models to analyze, manipulate, and deliver meaningful and actionable insights

• Work with peers within the group – Data Engineering and Analytics leaders and lead a small team of

data engineers to ensure successful delivery of strategy and implementation of data management

solutions

• Manage Data Quality and Governance and other related important aspects around Data

Management

• Translate business requirements into technical specifications, conceptual architecture and data

solution design. Develop and evangelize patterns, principles, and best practices for infusing analytics

and artificial intelligence into new solutions being developed or planned

• Lead process design reviews, conduct current state analysis, future state and roadmap creation and

assessments, project assessments, architectural discussions, design exercises and define detailed

implementation blueprint to build and automate large scale migration of data

• Apply modern data management toolsets and methods to design, build, implement, and optimize

data solutions of all types – including data warehouses, data lakes, ODS, streaming data, analytic and

BI/visualizations, etc

• Drive new data driven capabilities around business intelligence and analytics
• Interact across multiple business areas, proactively assist in defining the direction for future projects

to ensure successful development of appropriate data deliverables

• Collaborate and build trusted partnerships with Senior Leadership, Business Leads, Product Owners,

Web & Mobile Developers, Analytics Leads to implement the data strategy and to promote datadriven culture withing the company

• Demonstrate strong relationship management capabilities with an ability to engage, influence and

collaborate with stakeholders across organizational boundaries enabling the delivery of high standard

outcomes

• Track industry and technology trends to identify new approaches or paradigms in data and analytics

and use this information to influence leaders and develop future states and roadmaps

• Define standards and provide governance oversight to ensure project adherence to information

architecture strategy, principles, standards, policies and procedures throughout all project phases.

Provide guidance to the team on overall data architecture best practices

• Training, coaching, and supervising staff. Build and sustain a strong technical team with improved

technical acumen to support future growth.

Interested in hearing more? Easy Apply now by clicking the “Apply” button.

Jobot