Data Engineering Manager

Job Description

Join SADA as a Data Engineering Manager!Your Mission As a Data Engineering Manager at SADA, you will build and lead a growing Data Engineering team as we deliver robust data solutions for our clients on Google Cloud Platform (GCP). You will be responsible for managing a blended team of data engineers and data scientists, so a broad background in Big Data, data warehouse modernization, analytics, disaster recovery, data science, and machine learning is highly advantageous.The diversity of customers that SADA works with ensures a steady flow of challenging data work. Be prepared to tackle real-world data problems that our customers find too difficult or time-consuming to solve themselves. Engagements vary from being purely consultative to requiring heavy hands-on work and cover a diverse array of data domain areas. Management here at SADA also means developing people and being a leader.In this role, you will:

• Be comfortable working with customer executives to align business outcomes with technical vision and goals.
• Guide the day-to-day activities of a geographically distributed team, including hiring world-class talent, reviewing work and setting goals.
• Provide technical and professional leadership and mentorship on a diverse range of subject matter areas, such as Big Data pipelines and data warehouses to statistics and machine learning.
• Develop and codify best practices for your team that can be replicated across multiple customer engagements.
• Partner with your team to develop services and offerings that scale and are repeatable.
• Participate in key technical and design discussions with technical leads as a hands-on manager.
• Partner with other practice leads, architects, project managers, executives and sales personnel to develop statements of work, and then oversee execution by your team with high levels of agility and quality.

Pathway to Success #BeOneStepAhead: At SADA we are in the business of change. We are focused on leading-edge technology that is ever-evolving. We embrace change enthusiastically and encourage agility. This means that not only do our employees know that change is inevitable, but they embrace this change to continuously expand their skills, preparing for future customer needs. Your success starts by positively impacting the direction of a fast-growing data practice area with vision and passion. You will be measured by your team’s performance on customer engagements, how well your team achieves internal organizational goals, how well you collaborate with and support your team and peers, and the consultative polish you bring to customer interactions. As you continue to execute successfully, we will build a customized development plan together that leads you through the management growth track. Expectations

• Required Travel - 15-25% travel to customer sites, conferences, and other related events
• Customer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Common touchpoints occur when qualifying potential opportunities, at project kickoff, throughout the engagement as progress is communicated, and at project close. You can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives.
• Training - Ongoing with first-week orientation at HQ followed by a 90-day onboarding schedule. Details of the timeline can be shared.

Job RequirementsRequired Credentials:

• Google Professional Data Engineer Certified or able to complete within the first 45 days of employment

Required Qualifications:

• Experience leading, managing and hiring a team of talented engineers
• Expertise in at least one of the following engineering domain areas:
  • Data warehouse modernization: building complete data warehouse solutions, including technical architectures, star/snowflake schema designs, infrastructure components, ETL/ELT pipelines, and reporting/analytic tools. Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive).
  • Data migration: migrating data stores to reliable and scalable cloud-based stores, including strategies for near zero-downtime.
  • Backup, restore & disaster recovery: building production-grade data backup and restore, and disaster recovery solutions. Up to petabytes in scale.
• Expertise in at least one of the following data domains:
  • Predictive analytics (e.g., recommendation systems, predictive maintenance)
  • Natural language processing (e.g., conversational chatbots)
  • Document understanding
  • Image classification
  • Marketing analytics
  • IoT systems
• Experience writing software in one or more languages such as Python or Java/Scala
• Experience in technical consulting or customer-facing role
• Excellent critical thinking, problem-solving and analytical skills

Useful Qualifications:

• Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc)
• Experience in a large scale, high-volume data warehouse environment
• Experience operationalizing machine learning models on large datasets
• Demonstrated skills in selecting the right statistical tools given a data analysis problem

About SADAValues: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer.

1. Make them rave
2. Be data driven
3. Be one step ahead
4. Be a change agent
5. Do the right thing

Work with the best: SADA has been the largest partner in North America for GCP since 2016 and has been named the 2019 and 2018 Google Cloud Global Partner of the Year. SADA has also been awarded Best Place to Work by Inc. as well as LA Business Journal! Benefits: Unlimited PTO, competitive and attractive compensation, performance-based bonuses, paid holidays, rich medical, dental, vision plans, life, short and long-term disability insurance, 401K with match, professional development reimbursement program as well as Google Certified training programs.Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 12 years in a row garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 3000+ customers served, 10K+ workloads and 25M+ users migrated to the cloud.