Senior Director, Engineering - Data Lakehouse

Key Skills

Aartificial intelligence, Analytical and Problem solving, Apache Airflow, Apache Hive, Big Data Technology, Data Analytics, Data Lake, Data Warehousing, Effective communication skills, Java Programming, KPIs, Lakehouse, Machine learning techniques, Python Programming, SPARK Programming, SQL

Job Description

GEICO is on a multi-year journey to re-platform the Insurance industry, removing friction across Customers, Partners, Marketplace, Segments, Channels, and Experiences. The Data Lakehouse team is at the heart of accomplishing this mission, building the lakehouse infrastructure that enables secure, reliable, compliant and scalable data infrastructure.

The Data Lakehouse team enables the success of the company with creation of data platforms which in turn would facilitate the flow of data to all parts of product development, business, business intelligence and reporting. This enables decision makers access to data marts through self-service that cross-link data across our businesses. This team will partner heavily with teams in product engineering, marketing, lines of businesses, and machine learning and data science teams to accomplish their goals. The leader we hire will build a versatile team skilled in secure and scalable data lakehouse infrastructure based on industry standard frameworks such as Iceberg, DuckDB/Clickhouse/Trino/Pinot, Apache Spark/Flink on K8s, streaming data from pipelines, robust runtime metadata framework, reliable runtime access to data through APIs and frameworks; and transition us from the current state of data silos and monolithic architectures to a modern big data architecture stack.

Responsibilities of the role.

• Develop and own relationships with your business partners, engineering, marketing, and product management.

• Partner with the business to co-author strategies and tactics to enable new modernized data stack for the company.

• Grow the team over the coming year by advocating for additional resourcing and hiring into new open positions.

• Present the vision and strategic recommendations with clarity and concision to stakeholders having varying degrees of data fluency.

• Manage and prioritize requests from partners and set realistic expectations. Transparently communicate about priorities on a regular basis.

• Enhance the team's abilities to report on performance, focus on impact, and provide transparency about critical workstreams.

• Identify emerging trends in big data of which leaders should be aware. Develop ways to utilize and organize our data to guide big strategic decisions.

• Be accountable to the leadership of Data & Analytics for your success.

Required Experience:

• Deep experience building big data infrastructure at scale with high reliability and security.

• Experience layering in data lakehouse software and migrating folks from various environments.

• Experience providing various interfaces to data users for accessing data in interactive, batch and reporting environments.

• A thought leader who can providing strategic guidance and decision support.

• A creative and innovative problem solver and storyteller with data, comfortable with helping partners think and solve difficult business challenges.

• You thrive on partnership and can build the bridge between the requirements of the business and the needed data and analytics to help the business reach their goals.

• Have experience creating analytical data sets and data warehouses that enable self-service access to KPIs and metrics.

• Have consistently coached different data engineering roles (e.g data engineers, software developers, business intelligence, etc.) of your teams and growing leadership (managers and senior individual contributors) on your teams throughout your career.

• Familiarity with data engineering technologies including Java, Python, SQL, ETL, Airflow, Spark, Kafka, Hive, Presto, Hybrid Cloud, Data Lake, Machine Learning & AI.

Preferred Qualifications:

• Master’s degree in engineering, computer science, mathematics, other pure sciences disciplines, or equivalent experience.

• 15+ years of experience in building large-scale platforms with a focus on performance, scalability, and solving big data problems for large enterprises.

• 10+ years of experience in building and managing teams in a senior engineering leadership role.

• Understanding of the current hybrid-multi-cloud technology stack with the ability to creatively leverage services driving toward cost-efficient and performant applications.

• Mathematical sophistication, intellectual curiosity, and opinionated understanding of AI and Machine Learning would be strongly preferred.

• Knowledge of high-performance system architecture, data warehouses/lake house are strongly desired.

• Domain depth in marketing automation, computational advertising, analytics, and complex environments would be ideal to hit the ground running.

• Creative problem-solving skills, and strong communication skills - verbal and written are essential

Annual Salary

$195,000.00 - $315,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

Benefits:

As an Associate, you’ll enjoy our Total Rewards Program to help secure your financial future and preserve your health and well-being, including:

Premier Medical, Dental and Vision Insurance with no waiting period

Paid Vacation, Sick and Parental Leave

401(k) Plan

Tuition Reimbursement

Paid Training and Licensures