Senior Data Engineer

DIRECTV is seeking a Senior Data Engineer responsible for driving the design development and implementation of complex data models and analytics this role you will serve as a technical leader in interpreting data analytic use cases while collaborating with CDO Policy Security and Legal teams to establish data governance frameworks. This position specializes in developing sophisticated data interfaces retention models and anonymization techniques while leading cross-functional initiatives and mentoring team members.

Heres what youll do:

Data Architecture & Model Development

• Design and develop scalable data warehousing solutions building ETL/ELT pipelines in Big Data environments (cloud on-prem hybrid).
• Lead technical discussions on data architecture strategies and methodology approaches.
• Create and optimize data pipelines for structured and unstructured data processing.
• Develop and maintain data lineage documentation and technical specifications.
• Evaluate and recommend new data technologies and tools to enhance platform capabilities.
• Perform data analysis and profiling meet with application SMEs to understand source data model and translate it to Dimensional model.
• Collaborate with Data Product Managers Data Architects and other Data Engineers to design implement and deliver successful data solutions.

Data Policy & Security Implementation

• Collaborate with CDO Policy and Security teams to establish comprehensive data governance policies.
• Work closely with Legal teams to ensure compliance with data privacy regulations and industry standards.
• Design and implement data retention models with appropriate synthesis and anonymization techniques.
• Develop secure data interfaces that protect sensitive information while enabling analytics.
• Create and maintain data classification frameworks and access control mechanisms.

Advanced Data Processing & Analytics

• Gather mine and process large-scale structured and unstructured datasets using advanced techniques.
• Implement best practices for data ingestion validation normalization and cleaning processes.
• Develop automated data quality monitoring and alerting systems.
• Create complex data transformations and aggregations to support business intelligence needs.
• Optimize data processing workflows for performance and scalability.

Cross-Functional Leadership & Collaboration

• Lead data engineering initiatives across multiple teams and organizational units.
• Serve as technical subject matter expert for data-related projects and strategic decisions.
• Coordinate with data scientists analysts and business stakeholders to translate requirements into technical solutions.
• Participate in architecture review boards and technical design sessions.
• Drive adoption of data engineering best practices across the organization.

Mentorship & Knowledge Transfer

• Provide regular guidance and mentoring to junior data engineers and team members.
• Conduct technical training sessions on data engineering tools techniques and methodologies.
• Review code and technical designs to ensure quality and adherence to standards.
• Contribute to the development of data engineering standards and documentation.

What youll need to be successful:

Required Experience & Skills

• 3 5 years of experiencein data engineering and data architecture.
• Advanced expertise in data engineering with proven track record of delivering complex data solutions.
• Extensive experience with data policy development security frameworks and compliance requirements.
• Strong background in implementing data security policies like encryption/decryption anonymization and other privacy-preserving techniques.

Technical Expertise

• Programming Languages: Proficiency in Python SQL Scala for data processing.
• Cloud Platforms: Hands-on experience with Snowflake Databricks AWS & Azure or GCP data services.
• Database Systems: Advanced knowledge of relational databases and data mesh architecture.
• Data Modeling: Expertise in dimensional modeling data vault and other data modeling methodologies; hands on experience on data modeling tools such as Erwin SQLDBM etc.
• ETL/ELT Tools: Experience with modern data integration tools and frameworks.
• Big Data Technologies: Experience with Hadoop Spark Kafka or similar distributed computing platforms.
• Data Observability: Experience with modern data auditing/observability tools such Monte Carlo etc.
• Data Visualization: Experience with reporting tools such as PowerBI and Tableau.

Specialized Knowledge

• Deep understanding of data governance privacy regulations (GDPR CCPA) and compliance frameworks.
• Experience with data anonymization techniques differential privacy and synthetic data generation.
• Knowledge of data retention policies and automated data lifecycle management.
• Familiarity with data cataloging tools and metadata management systems.
• Knowledge of Corporate Finance and Supply Chain domains is preferred.

Core Competencies

• Technical Leadership: Ability to lead complex technical initiatives and drive architectural decisions.
• Problem-Solving: Advanced analytical skills to resolve sophisticated data engineering challenges.
• Communication: Strong ability to translate technical concepts for non-technical stakeholders.
• Collaboration: Proven experience working effectively with cross-functional teams.
• Mentorship: Demonstrated ability to guide and develop junior team members.

Preferred Qualifications:

• Bachelors or Masters degree in Computer Science Data Engineering Mathematics or related field.
• Industry certifications in cloud platforms or data engineering tools.
• Experience in regulated industries (financial services healthcare telecommunications).
• Knowledge of machine learning operations (MLOps) and data science workflows.
• Experience with real-time data processing and streaming analytics.

This role offers the opportunity to shape data strategy and architecture while working on cutting-edge data engineering challenges that drive business innovation and maintain the highest standards of data security and compliance.

May require a background check due to job duties requiring routine access to DIRECTV and DIRECTV customers proprietary data. Qualified applicants with arrest and conviction will be considered for employment in accordance with local ordinances and state law.

This is a remote position that can be located anywhere in the contiguous United States. #LI-Remote

A career with us comes with big rewards:

DIRECTVs compensation structure is designed to be market-competitive and fully supports efforts to attract and retain employees. It is the companys policy to offer pay that is competitive with other employers in the local market. Our salary ranges are determined by role level and location.

The Base Salary range displayed below reflects the minimum and maximum target salary for each of DIRECTVs 4 (four) US Labor Market Zones. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training.

DIRECTV WAGE ZONES: $122194 - $221818

Low (N1): $122194 - $183241
Mid (N2): $128625 - $192885
High (N3): $141488 - $212174
Top (N4): $147919 - $221818

Click HERE to review information on some of the largest Designated Market Areas (DMAs). Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the salary ranges reflect base salary only and do not include bonus or benefits - when you consider all of these together it represents a pretty impressive total compensation package.

Apply today!

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